Absolute radiometric calibration method for target remote sensing equipment and related equipment

Abstract

The invention provides an absolute radiometric calibration method for target remote sensing equipment and related equipment, and the method comprises the steps: carrying out the regularization processing of a linear flight imaging image based on a target ground object, and obtaining a first regularized image and an actual DN value of the regularized target ground object; performing radiation transfer calculation according to the TOA environment parameters of the target ground object and the equipment parameters of the target remote sensing equipment which are synchronously acquired in the straight flight imaging period to obtain the TOA radiance of the reference detector, and performing absolute radiometric calibration according to the DN value of the target ground object to obtain the absolute radiometric calibration coefficient of the reference detector. And finally, carrying out absolute radiometric calibration coefficient transmission based on the absolute radiometric calibration coefficient of the reference detector and the function relationship between the spectral response functions of other detectors and the reference detector to obtain the absolute radiometric calibration coefficients of all detectors of the target remote sensing equipment. Therefore, the accuracy of absolute radiometric calibration of multiple detectors can be effectively improved.

Description

Technical Field

[0001] The present application relates to the field of satellite remote sensing technology, and in particular to an absolute radiation calibration method for a target remote sensing device and related equipment. Background Art

[0002] In current remote sensing applications, when detecting a large range of target surface areas, it is necessary to splice multiple detectors in the corresponding remote sensing equipment to achieve large-scale target surface area detection. In order to ensure that different detectors can provide consistent and accurate radiation values ​​when acquiring remote sensing data, it is necessary to perform absolute radiation calibration on multiple detectors. However, when the number of detectors is large, due to certain differences between different detectors, the absolute radiation calibration accuracy for multiple detectors is poor, and it is difficult for related technologies to achieve absolute radiation calibration for multiple detectors at the same time. Summary of the invention

[0003] Based on the above problems, in order to improve the accuracy of absolute radiation calibration when there are many detectors in the remote sensing device, the embodiment of the present application provides an absolute radiation calibration method and related equipment for a target remote sensing device.

[0004] The embodiments of the present application disclose the following technical solutions:

[0005] In a first aspect, an embodiment of the present application provides an absolute radiation calibration method for a target remote sensing device, wherein the target remote sensing device includes a plurality of detectors; the method includes:

[0006] Performing regularization processing based on the one-line flight imaging image of the target object to obtain a first regularized image and a DN value of the target object in the first regularized image;

[0007] When performing one-way flying imaging of the target object, obtaining environmental parameters of the target object;

[0008] Performing radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device to obtain the TOA radiance of the reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object;

[0009] Performing absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an absolute radiation calibration coefficient of the reference detector;

[0010] Based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors, the absolute radiation calibration coefficient is transferred to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

[0011] In a possible implementation, the absolute radiation calibration coefficient is transferred based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the plurality of detectors to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device, including:

[0012] Factor calculation is performed according to the spectral response function of the reference detector, the environmental parameters, and the spectral response functions corresponding to each of the multiple detectors to obtain multiple spectral matching factors; the spectral matching factors are spectral matching factors corresponding to each of the reference detector and the detector;

[0013] The absolute radiation calibration coefficient is transferred according to the absolute radiation calibration coefficient of the reference detector and the spectral matching factors corresponding to the reference detector and the multiple detectors, and the absolute radiation calibration coefficients corresponding to the multiple detectors are calculated to obtain the absolute radiation calibration coefficients of all the detectors in the target remote sensing device.

[0014] In a possible implementation, the environmental parameters include: surface reflectivity and atmospheric parameters; and the calibration parameter calculation is performed according to the environmental parameters of the target object to obtain the TOA radiance of the target remote sensing device, including:

[0015] Acquiring the surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and the payload spectral response function of the target remote sensing device; the payload spectral response function is used to represent the spectral response function of the reference detector;

[0016] The surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and payload spectral response function of the target remote sensing device are input into a preset radiation transfer model to obtain the TOA radiance of the target reference detector.

[0017] In a possible implementation, performing absolute radiometric calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain the absolute radiometric calibration coefficient of the reference detector includes:

[0018] Calculating a calibration coefficient according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an initial absolute radiation calibration coefficient;

[0019] Perform brightness simulation based on the environmental parameters and the preset radiation transfer model to obtain an actual TOA radiance value under the environmental parameters;

[0020] Dynamically adjust the actual TOA radiance value according to a preset error adjustment coefficient to obtain a plurality of reference TOA radiance values;

[0021] Estimating uncertainty according to the actual TOA radiance value and the multiple reference TOA radiance values ​​to obtain the uncertainty of the absolute radiation calibration coefficient;

[0022] The initial absolute radiation calibration coefficient is optimized according to the uncertainty of the absolute radiation calibration coefficient to obtain the absolute radiation calibration coefficient of the reference detector.

[0023] In a possible implementation, the one-line flight imaging image based on the target object is regularized to obtain a first regularized image and a DN value of the target object in the first regularized image, including:

[0024] Performing preliminary regularization processing on the one-line flight imaging image of the target object to obtain a second regularized image;

[0025] Relative radiation correction is performed based on the second regularized image to obtain the first regularized image and the DN value of the target object in the first regularized image.

[0026] In a possible implementation, before the regularization processing is performed on the one-line flight imaging image of the target object, the method further includes:

[0027] The dark current processing is performed on the one-line flying imaging image of the target object to remove the dark current in the one-line flying imaging image.

[0028] In a possible implementation, performing dark current processing on the one-line flying imaging image of the target object to remove the dark current in the one-line flying imaging image includes:

[0029] Determining dark current data of the target remote sensing device according to the calibration data of the target remote sensing device;

[0030] Dark current processing is performed based on the dark current data of the target remote sensing device to remove the dark current in the one-line flight imaging image.

[0031] In a second aspect, an embodiment of the present application provides an absolute radiation calibration system for a target remote sensing device, wherein the target remote sensing device includes a plurality of detectors; the system includes:

[0032] A first acquisition module is used to perform regularization processing based on the one-line flight imaging image of the target object to obtain a first regularized image and a DN value of the target object in the first regularized image;

[0033] A second acquisition module is used to acquire the environmental parameters of the target object when performing one-line flight imaging on the target object;

[0034] A calculation module, configured to perform radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device, and obtain the TOA radiance of a reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object;

[0035] A reference radiation calibration module, used to perform absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image, to obtain an absolute radiation calibration coefficient of the reference detector;

[0036] The absolute radiation calibration module is used to transfer the absolute radiation calibration coefficient based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

[0037] In a third aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor, a memory, and a system bus;

[0038] The processor and the memory are connected via the system bus;

[0039] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes the absolute radiation calibration method of any possible target remote sensing device in the first aspect.

[0040] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the absolute radiation calibration method for any possible target remote sensing device of the first aspect.

[0041] Compared with the prior art, the present application has the following beneficial effects: The embodiment of the present application provides an absolute radiation calibration method and related equipment for a target remote sensing device. In the method, it is first necessary to perform regularization processing based on the one-line flight imaging image of the target object, so that all detectors in the target remote sensing device can image the target object in a relatively short time, obtain the first regularized image and the DN value of the target object in the first regularized image, so as to ensure that the DN values ​​obtained by each detector are consistent, thereby providing a basis for high-precision radiation calibration. In addition, when the target object is imaged in one-line flight, the environmental parameters of the target object are synchronously obtained. Afterwards, the TOA radiance of the target remote sensing device is calculated according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device, which can effectively remove the error caused by the surrounding environment to the absolute radiation calibration and improve the accuracy of the absolute radiation calibration. Further, the absolute radiation calibration coefficient of the reference detector is calculated according to the TOA radiance of the target remote sensing device and the DN value of the target object in the first regularized image. Based on the absolute radiation calibration coefficient and spectral response function of the reference detector, and the functional relationship between the spectral response functions corresponding to each detector in the target remote sensing device, the absolute radiation calibration coefficients of all detectors in the target remote sensing device are transferred and calculated. In this way, the absolute radiation calibration coefficients of other detectors in the target remote sensing device can be transferred and calculated based on the absolute radiation calibration coefficient of the reference detector itself. Only one imaging is required to achieve the absolute radiation calibration of all detectors in the target remote sensing device, which effectively improves the accuracy of absolute radiation calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 A schematic diagram of a flow chart of an absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a straight-line flying imaging mode and a conventional stack scanning imaging mode provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of a first regularized image provided in an embodiment of the present application;

[0046] Figure 4A schematic flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application;

[0047] Figure 5 A schematic flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application;

[0048] Figure 6 A schematic flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application;

[0049] Figure 7 A schematic flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application;

[0050] Figure 8 A schematic diagram of a first regularized image after relative radiation correction provided in an embodiment of the present application;

[0051] Fig. 9 A schematic diagram of the structure of an absolute radiation calibration system for a target remote sensing device provided in an embodiment of the present application;

[0052] Fig.10 A schematic structural diagram of an absolute radiation calibration electronic device for a target remote sensing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of this application more clear, the following is a further detailed description of this application in combination with specific embodiments and with reference to the accompanying drawings. It should be noted that the embodiments described in the embodiments of this application are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0054] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "include" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0055] As described above, in current remote sensing applications, when detecting a large range of target surface areas, it is necessary to splice multiple detectors in the corresponding remote sensing equipment to achieve large-scale target surface area detection. In order to ensure that different detectors can provide consistent and accurate radiation values ​​when acquiring remote sensing data, it is necessary to perform absolute radiation calibration on multiple detectors. However, when the number of detectors is large, it is necessary to calculate the absolute radiation calibration coefficients of single or single-chip detectors in turn, and the calculation efficiency of the absolute radiation calibration coefficients is low.

[0056] In order to solve the above problems, the embodiment of the present application provides an absolute radiation calibration method and related equipment for a target remote sensing device. In the method, it is first necessary to perform regularization processing based on the one-line flight imaging image of the target object, so that all detectors in the target remote sensing device can image the target object in a shorter time, and obtain a first regularized image and the DN value of the target object in the first regularized image, so as to ensure that the DN values ​​obtained by each detector are consistent, thereby providing a basis for high-precision radiation calibration. Subsequently, the target remote sensing device is controlled to detect the object based on the first regularized image, and when the target object is detected, the TOA radiance of the target remote sensing device is calculated according to the environmental parameters of the target object, which can effectively remove the error caused by the surrounding environment to the absolute radiation calibration and improve the accuracy of the absolute radiation calibration. Furthermore, the absolute radiation calibration coefficient of the reference detector is calculated based on the TOA radiance of the target remote sensing device and the DN value of the target object in the first regularized image. Based on the absolute radiation calibration coefficient and spectral response function of the reference detector, as well as the spectral response function corresponding to each detector in the target remote sensing device, the absolute radiation calibration coefficients of all detectors in the target remote sensing device are recursively calculated. In this way, the absolute radiation calibration coefficients of other detectors in the target remote sensing device can be recursively calculated by referring to the absolute radiation calibration coefficient of the reference detector itself, based on the absolute radiation calibration coefficient of the reference detector only. Only one imaging is required to achieve the absolute radiation calibration of all detectors in the target remote sensing device, which effectively improves the accuracy of absolute radiation calibration.

[0057] Next, an absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application will be introduced in conjunction with specific embodiment drawings.

[0058] See also Figure 1 , which is a flow chart of an absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application, and specifically includes the following steps:

[0059] S101: performing regularization processing based on a one-line flight imaging image of a target object to obtain a first regularized image and a DN value of the target object in the first regularized image.

[0060] In a remote sensing device with a large field of view, since there are a large number of detectors spliced ​​in the device, if the traditional conventional stack scanning imaging mode is used to detect images, the splicing of multiple detectors often leads to spectral response differences between the detectors, thereby affecting the accuracy of absolute radiometric calibration. Therefore, in order to solve this problem, in the embodiment of the present application, the absolute radiometric calibration of the target remote sensing device needs to be completed based on the one-line flight imaging image of the target object.

[0061] For one-line flight imaging of target objects, please refer to Figure 2Schematic diagram of the disclosed straight-line flight imaging mode and conventional stack-sweep imaging mode. As can be seen from the figure, when the remote sensing device is in orbit, the detector performs continuous push-sweep imaging of the surface, and each detector performs imaging along the direction of the orbit. Each detector images a different ground object at a specific moment, and finally splices them into a complete image. This method is prone to imaging inconsistencies due to splicing errors of multiple detectors. The straight-line flight imaging mode adjusts the attitude of the satellite or payload, and the detectors image the same ground object in turn in a short period of time, ensuring that all detectors image the same TOA radiance, thereby achieving a consistent imaging benchmark and avoiding splicing errors.

[0062] In actual application scenarios, rotating the target remote sensing device by ±90° and performing appropriate earth rotation compensation can enable all detectors in the target remote sensing device to image the same target object in a short period of time. Since the target remote sensing device runs very fast in orbit, it can be assumed that the detectors obtain the same TOA brightness, and then absolute radiation calibration is performed under the same benchmark, thereby solving the calibration error problem caused by multi-detector splicing.

[0063] Furthermore, after obtaining the one-line flight imaging image of the target object, the one-line flight imaging image will have a certain offset due to the difference in the time when each detector element in each row of the detector detects the target object. Therefore, it is necessary to further regularize the one-line flight image of the target object to eliminate the image offset in the one-line flight imaging image, align the imaging data of each detector on the same target object, so that each row of image data corresponds to the imaging of the same object by all detector elements, and ensure the spatial consistency of the data.

[0064] S102: When performing one-way flying imaging on the target object, obtaining environmental parameters of the target object.

[0065] When the target remote sensing device performs one-way imaging of the target object, the environmental parameters of the target object will be obtained synchronously. The environmental parameters of the target object include the spectral reflectance and atmospheric parameters of the target object. By obtaining the environmental parameters of the target object, it is helpful to calculate the TOA radiance of the reference detector in the target remote sensing device according to the actual environmental conditions of the target object.

[0066] S103: Perform radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device to obtain the TOA radiance of a reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object.

[0067] When the target remote sensing device detects the target object, the target remote sensing device detects the target object based on the calibration field where the first regularized image is located. The target remote sensing device calculates the TOA radiance of the reference detector according to the environmental parameters of the target object, the actually measured environmental parameters, and the device parameters of the target remote sensing device itself.

[0068] Among them, the reference detector is a detector in the target remote sensing device that can detect the target object. In actual application scenarios, when multiple detectors are spliced ​​in the target remote sensing device, the target remote sensing device often has too large a width due to the splicing of too many detectors. Correspondingly, since the target object often has only a certain field of view size, all detectors in the target remote sensing device cannot detect the target object at the same time. Therefore, when the target remote sensing device detects the target object, it is necessary to use the detector that can detect the target object as a reference detector and calculate the TOA radiance of the reference detector.

[0069] S104: Performing absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an absolute radiation calibration coefficient of the reference detector.

[0070] Furthermore, an absolute radiometric calibration is performed according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to calculate the absolute radiometric calibration coefficient of the reference detector.

[0071] The absolute radiometric calibration coefficient of the reference detector requires the TOA radiance of the target remote sensing device and the DN value of the target object in the first regularized image to calculate. Since the imaging of the target object is often completed by imaging multiple detectors, the DN value of the target object in the first regularized image is actually the average DN value of each detector imaging of the target object in the first regularized image. For details, please refer to Figure 3 A schematic diagram of a first regularized image disclosed is shown in the figure. In the first regularized image, boxsize rows of data are used as the minimum unit for hierarchical processing. Bi represents a brightness level, and each boxsize represents a detector of the same brightness level. Each detector has a corresponding DN value. By cyclically solving the DN value corresponding to each detector in the area where the target object is located and taking the average DN value, the DN value of the target object in the first regularized image can be obtained.

[0072] In this way, the absolute radiation calibration coefficient of the reference detector can be quickly determined by using the DN value of the target object in the first regularized image, which simplifies the calibration process and improves the calibration efficiency compared to relying on laboratory calibration or complex on-site calibration. At the same time, combined with the TOA radiance of the target remote sensing equipment, absolute radiation calibration can be performed based on the actual radiation characteristics of the target object and the capabilities of the target remote sensing equipment, improving the calculation accuracy of the absolute radiation calibration coefficient.

[0073] S105: Based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors, the absolute radiation calibration coefficient is transferred to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

[0074] Finally, after determining the absolute radiation calibration coefficient of the reference detector, the absolute radiation calibration is performed by using the absolute radiation calibration coefficient of the reference detector itself and the spectral response function between the reference detector and other detectors in the target remote sensing device. The difference in spectral response functions between different detectors can be effectively combined to perform absolute radiation calibration, thereby eliminating the calculation error caused by the difference in spectral response functions between different detectors to the absolute radiation calibration, and further improving the accuracy of absolute radiation. At the same time, the absolute radiation calibration for other detectors can be calculated only by the absolute radiation calibration coefficient of the reference detector, which simplifies the overall calibration process. In the actual process of absolute radiation calibration, only a single imaging can achieve absolute radiation calibration for multiple detectors in the target remote sensing device, which improves the efficiency of absolute radiation calibration.

[0075] Next, the process of calculating the absolute radiation calibration coefficients of all detectors in the target remote sensing device in step S105 will be introduced in conjunction with the drawings of specific embodiments.

[0076] See also Figure 4 , which is a flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application, and specifically includes the following steps:

[0077] S201: Factor calculation is performed according to the spectral response function of the reference detector, the environmental parameters, and the spectral response functions corresponding to each of the multiple detectors to obtain multiple spectral matching factors; the spectral matching factors are spectral matching factors corresponding individually between the reference detector and the detector.

[0078] First, the spectral matching factor of each detector relative to the reference detector is calculated by using the spectral response function of the reference detector, the environmental parameters, and the spectral response function corresponding to each detector, so as to correct the error caused by the difference in spectral response characteristics of different detectors when detecting the same target object. Among them, the environmental parameters used in calculating the spectral matching factor can be the surface reflectivity of the target object, or other data that can represent the radiation characteristics of the target object.

[0079] Specifically, the calculation formula of the spectral matching factor is as follows:

[0080]

[0081] Where SBAF i is the spectral matching factor between the reference detector and other detectors, i = 1, 2, 3, ..., n; ρ(λ) is the TOA reflectivity of the reference detector after resampling, RSR Reference (λ) is the spectral response function of the first detector; is the spectral response function of other detectors.

[0082] S202: Perform absolute radiation calibration according to the absolute radiation calibration coefficient of the reference detector and the spectral matching factors corresponding to the reference detector and the multiple detectors, calculate the absolute radiation calibration coefficients corresponding to the multiple detectors, and obtain the absolute radiation calibration coefficients of all the detectors in the target remote sensing device.

[0083] After determining the spectral matching factor between the reference detector and each detector, the absolute radiation calibration coefficient of the reference detector is combined with the spectral matching factor between the reference detector and the detector through the determined absolute radiation calibration coefficient of the reference detector, and the absolute radiation calibration coefficient of the corresponding detector can be obtained. In this way, the absolute radiation calibration coefficient calculation process for each detector is repeated cyclically to complete the absolute radiation calibration of the entire target remote sensing equipment.

[0084] Specifically, the above calculation process is implemented by the following formula:

[0085] Gain′=Gain×SBAF i

[0086] Where Gain' represents the absolute radiation calibration coefficient of the corresponding detector, and Gain represents the absolute radiation calibration coefficient of the reference detector.

[0087] Next, the method for determining the TOA radiance of the target remote sensing device in the above step S103 will be introduced in conjunction with the drawings of specific embodiments.

[0088] See also Figure 5 , which is a flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application, and specifically includes the following steps:

[0089] S301: Acquire the surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and payload spectral response function of the target remote sensing device; the payload spectral response function is used to represent the spectral response function of the reference detector.

[0090] When the target remote sensing device detects the target object, it is necessary to synchronously measure the surface reflectivity and atmospheric parameters of the target object, and obtain the imaging set parameters and payload spectral response function of the target remote sensing device. The payload spectral response function is the spectral response function of the reference detector.

[0091] In some possible implementations, the surface reflectivity of the target object can be measured on the spot at the target object using a ground reflectometer or other spectroscopic instruments. It is also possible to use an existing object reflectivity database or standard reflectivity values ​​provided by standard objects (such as reflectivity standard plates, deserts, salt lakes, etc.). Correspondingly, atmospheric parameters can be obtained by atmospheric detection instruments configured in the target remote sensing equipment, or atmospheric radiation transmission models. Through the atmospheric detection instruments of the target remote sensing equipment, atmospheric parameters such as aerosols, clouds, water vapor content, and atmospheric transmittance in the atmosphere can be obtained. Through the atmospheric radiation analysis model, the temperature, humidity, and air pressure data of the surrounding environment of the target object can be combined for simulation calculation to obtain the atmospheric parameters.

[0092] In addition, the equipment parameters of the target remote sensing device may be the equipment attitude, orbit information and impact metadata of the remote sensing device. Among them, the equipment attitude and orbit data can be obtained from the attitude control system in the target remote sensing device to obtain the orbit data, pitch angle, azimuth and other parameters of the target remote sensing device. These data can be provided by the orbit database or ground measurement and control station corresponding to the target remote sensing device. Image metadata can be the imaging geometry parameters of the target remote sensing device, such as the solar azimuth, satellite viewing angle, etc. This information is usually contained in the metadata file of the image and can be directly extracted.

[0093] S302: Input the surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometry parameters and payload spectral response function of the target remote sensing device into a preset radiation transfer model to obtain the TOA radiance of the reference detector.

[0094] Subsequently, the calculation parameters obtained above are input into a preset radiation transfer model to calculate the TOA radiance of the reference detector, and the TOA radiance of the reference detector is used as the TOA radiance of the reference detector.

[0095] In some possible implementations, the TOA radiance can be calculated by a reflectivity-based method, an irradiance-based method, and an improved irradiance-based method. The following will introduce these three TOA radiance calculation methods.

[0096] Reflectivity-based method: The reflectivity-based method requires that when the target remote sensing device detects the target object, the surface reflectivity and atmospheric parameters obtained are imported into the atmospheric radiation transmission model to calculate the TOA radiance of the target remote sensing device. Specifically, the formula for calculating TOA radiance based on surface reflectivity and atmospheric parameters is as follows:

[0097]

[0098] T(θ s )=T dir (θ s )+T dif (θ s ) (2)

[0099] T(θ v )=T dir (θ v )+T dif (θ v )(3)

[0100] L=ρ * ×cos(θ s )×E0 / (d 2 ×π)(4)

[0101] In the formula, θ s and θ v are the solar zenith angle and the observation zenith angle, is the relative azimuth between the observation azimuth and the solar azimuth; ρ * is the TOA reflectivity, ρ a is the path radiation; ρ t is the surface reflectivity; s is the hemispherical albedo; T(θ s ) and T(θ v ) are the total atmospheric transmittance in the sun direction (downward) and observation direction (upward), respectively; T dir (θ s ) and T dif (θ s ) are the downlink direct transmittance and the scattered transmittance respectively; T dir (θ v ) and T dif (θ v ) are the upward direct transmittance and the diffuse transmittance respectively; E0 is the solar irradiance at the top of the atmosphere; d is the distance between the sun and the earth, in AU.

[0102] Irradiance-based method: The irradiance-based method adds the measurement of diffuse-to-total ratio to the reflectance-based method. The calibration formula is as follows:

[0103]

[0104]

[0105]

[0106] In the above formula, μ s and μ v The solar zenith angle θ is s and the observed zenith angle θ v cosine of; τ is the total optical thickness of the atmosphere; α s and α v are the diffuse ratios of the sun direction and the observation direction, respectively.

[0107] Improved irradiance basis method: When at least one of the following three conditions occurs: the atmospheric conditions of the target remote sensing equipment are unstable, the solar zenith angle changes within the effective observation time is small, and the aerial field calibration is performed, and diffuse-to-total ratio data is used, the improved irradiance basis method can be used for calibration. The specific formula is as follows:

[0108]

[0109] The above formula (8) is based on formula (1), using only α s To replace the scattered transmittance in the downlink direction, the direct transmittance in the downlink direction and the total transmittance in the uplink direction still use the calculation results of MODTRAN.

[0110] Next, the calculation process of the absolute radiation calibration coefficient of the reference detector in the above step S104 will be introduced in conjunction with the drawings of specific embodiments.

[0111] See also Figure 6 , which is a flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application, and specifically includes the following steps:

[0112] S401: Calculate calibration coefficients according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain initial absolute radiation calibration coefficients.

[0113] First, after determining the TOA radiance of the reference detector, the absolute radiation calibration coefficient of the reference detector can be calculated based on the DN value of the target object in the first regularized image. However, in actual object detection scenarios, both the TOA radiance of the target remote sensing device and the DN value of the target object in the first regularized image may be affected by the external environment, resulting in certain errors in the actual values. Therefore, when the absolute radiation calibration coefficient of the reference detector is initially calculated using the TOA radiance of the target remote sensing device and the DN value of the target object, the calculated absolute radiation calibration coefficient is only used as the initial absolute radiation calibration coefficient, and the final applied absolute radiation calibration coefficient needs to undergo subsequent error processing.

[0114] The calculation formula of the initial absolute radiation calibration coefficient is as follows:

[0115] L=Gain×DN+Bias

[0116] Where L represents the TOA radiance of the reference detector, Gain represents the initial absolute radiation calibration coefficient, and Bias is the actual bias. The value of Bias is determined by the actual type of calibration field, and the Bisa values ​​corresponding to different calibration fields are different.

[0117] S402: Perform brightness simulation based on the environmental parameters and the preset radiation transfer model to obtain actual TOA radiance values ​​under the environmental parameters.

[0118] Subsequently, in order to eliminate the calculation error of the absolute radiation calibration coefficient caused by external environmental factors, it is necessary to perform brightness simulation based on the actual environmental parameters of the target object and the preset radiation transfer model, so as to simulate the actual TOA radiance value under the current environmental parameters. TOA radiance (Top of Atmosphere Radiance) refers to the radiance reaching the top of the atmosphere. It is affected by factors such as surface reflectivity, atmospheric conditions (such as aerosol optical thickness), and solar irradiance. It represents the total radiation received by the target remote sensing device from light reflected or scattered from the surface after passing through the atmosphere. This value is usually one of the key parameters detected by the sensor in the remote sensing imaging process, and is used to quantitatively analyze and calibrate image data.

[0119] Exemplarily, the environmental parameters may be actually measured surface reflectance and atmospheric parameters, and the TOA radiance value under the current environmental parameters is simulated by inputting the measured surface reflectance and atmospheric parameters into a pre-set radiation transfer model.

[0120] S403: Dynamically adjust the actual TOA radiance value according to a preset error adjustment coefficient to obtain a plurality of reference TOA radiance values.

[0121] Furthermore, in order to understand the error impact of the surrounding environment on the absolute radiation calibration, it is necessary to generate multiple reference TOA radiance values ​​based on the TOA radiance values ​​in the actual environment, so as to combine the reference TOA radiance values ​​with the TOA radiance values ​​in the actual environment to determine the uncertainty of the absolute radiation calibration.

[0122] In the process of dynamically adjusting the actual TOA radiance value by using the preset error adjustment coefficient, the preset error adjustment coefficient may be a specific percentage coefficient. For example, if the preset adjustment coefficient is set to 2% and the actual TOA radiance value is set to 100W, the reference TOA radiance value may be 100-100*0.02*100%=98W. Similarly, with 2 as an adjustment unit, multiple reference TOA radiance values ​​may be 102, 98, 96, etc.

[0123] S404: Estimating uncertainty according to the actual TOA radiance value and the multiple reference TOA radiance values ​​to obtain the uncertainty of the absolute radiation calibration coefficient.

[0124] After determining the actual TOA radiance value and multiple reference TOA radiance values, the uncertainty of the absolute radiation calibration coefficient can be calculated based on the uncertainty estimation of the two. Among them, the uncertainty is used to characterize the probability of error in the absolute radiation calibration coefficient of the reference detector, as well as the accuracy of the absolute radiation calibration coefficient. Specifically, the calculation formula of the uncertainty coefficient is as follows:

[0125]

[0126] In the formula, ε i Represents the uncertainty corresponding to a single reference TOA radiance value, L Originali is the reference equivalent radiance, L Newi is the equivalent radiance after changing the input conditions, ε Total is the uncertainty of the absolute radiation calibration coefficient.

[0127] S405: Optimizing the initial absolute radiation calibration coefficient according to the uncertainty of the absolute radiation calibration coefficient to obtain the absolute radiation calibration coefficient of the reference detector.

[0128] Finally, by optimizing the initial absolute radiation calibration coefficient through the uncertainty of the absolute radiation calibration coefficient, the absolute radiation calibration coefficient of the reference detector can be corrected and optimized to make the absolute radiation calibration coefficient of the reference detector more accurate and improve the accuracy of the data.

[0129] In some possible implementations, in the process of optimizing the initial absolute radiation calibration coefficients through uncertainty, the uncertainty can be introduced into the weighted least squares method. That is, in the fitting model, a data point with a smaller uncertainty is given a higher weight, while a data point with a larger uncertainty is given a lower weight. In this way, the initial absolute radiation calibration coefficients are optimized, so that the fitting results are more accurate and the data errors are reduced.

[0130] Next, in conjunction with the drawings of specific embodiments, the method for determining the DN values ​​of the first regularized image and the target object in the first regularized image in step S101 in the above steps will be introduced.

[0131] See also Figure 7 , which is a flow chart of another absolute radiation calibration method for a target remote sensing device provided in an embodiment of the present application, and specifically includes the following steps:

[0132] S501: Performing preliminary regularization processing on the one-line flight imaging image of the target object to obtain a second regularized image.

[0133] As can be seen from the previous text, in the process of one-line flight imaging, since the time when each detector in each row of the detector detects the target object is different, the image will have a certain offset. Therefore, it is necessary to regularize the one-line flight imaging image of the target object so that each row of data in the processed image corresponds to the imaging data of the same object by all detectors in the payload, and obtain the second regularized image.

[0134] In a possible implementation, in order to ensure the image quality of the one-line flight imaging image as much as possible, after obtaining the one-line flight imaging image of the target object, the image can be further processed for dark current, thereby removing the dark current in the one-line flight imaging image. Dark current is one of the important factors that determine image quality. It is an additive noise to the DN value output by the target remote sensing device, so it is necessary to remove the dark current when generating the one-line flight image.

[0135] In the process of dark current processing, it is necessary to first obtain the dark current data in the target remote sensing device based on the calibration data of the target remote sensing device, so as to remove the dark current data in the target remote sensing device. In the case that the target remote sensing device does not have a calibration system or the calibration system fails, the dark current data can be obtained by imaging the ocean or deep space at night. Specifically, the formulas for obtaining and removing dark current are as follows:

[0136]

[0137] In the formula, i represents the band number, k represents the number of detectors, j represents the number of rows scanned by the detector (j = 1, 2, 3, ..., N); DC (i, j, k) represents the original dark current of the image, is the dark current of each detector in each band after the column average is calculated; DN(i,j,k) is the original DN value of the image, DN * (i, j, k) is the DN value of the image after removing the dark current.

[0138] S502: Perform relative radiation correction based on the second regularized image to obtain the first regularized image.

[0139] After obtaining the second regularized image, each line on the image can be considered as an imaging brightness level of the sensor. In order to reduce the impact of the error in the regularization process on the subsequent calibration accuracy, it is necessary to further perform relative radiation correction on the second regularized image so that the ground object images obtained by all detectors in the target remote sensing equipment can be maintained at a basically horizontal position.

[0140] Specifically, the first regularized image after relative radiation correction can be found in Figure 8 As can be seen from the figure, after the second regularized image has been corrected for relative radiation, the ground object images acquired by each detector in the target remote sensing equipment can be maintained at a basically horizontal position, thereby improving the calculation accuracy of the subsequent absolute radiation calibration coefficient.

[0141] S503: Calculate the brightness value according to the first regularized image to obtain the DN value of the target object in the first regularized image.

[0142] Finally, the DN average value of the target object in the first regularized image is calculated based on the first regularized image, so as to obtain the DN value of the target object in the first regularized image.

[0143] The embodiment of the present application provides an absolute radiation calibration method for a target remote sensing device. In the method, first, it is necessary to perform regularization processing based on the one-line flight imaging image of the target object, so that all detectors in the target remote sensing device can image the target object in a relatively short time, obtain a first regularized image and the DN value of the target object in the first regularized image, so as to ensure that the DN values ​​obtained by each detector are consistent, thereby providing a basis for high-precision radiation calibration. Subsequently, the target remote sensing device is controlled to detect the object based on the first regularized image, and when the target object is detected, the TOA radiance of the target remote sensing device is calculated according to the environmental parameters of the target object, which can effectively remove the error caused by the surrounding environment to the absolute radiation calibration and improve the accuracy of the absolute radiation calibration. Further, the absolute radiation calibration coefficient of the reference detector is calculated according to the TOA radiance of the target remote sensing device and the DN value of the target object in the first regularized image. And based on the absolute radiation calibration coefficient and spectral response function of the reference detector, and the spectral response function corresponding to each detector in the target remote sensing device, the absolute radiation calibration coefficients of all detectors in the target remote sensing device are recursively calculated. In this way, the absolute radiation calibration coefficients of other detectors in the target remote sensing device can be recursively calculated based on the absolute radiation calibration coefficient of the reference detector itself. Only one imaging is required to achieve the absolute radiation calibration of all detectors in the target remote sensing device, which effectively improves the accuracy of absolute radiation calibration.

[0144] An absolute radiation calibration system for a target remote sensing device provided in an embodiment of the present application is introduced below. The absolute radiation calibration system for a target remote sensing device described below and the absolute radiation calibration method for a target remote sensing device described above can be referenced to each other.

[0145] See also Fig. 9 , Fig. 9 A schematic diagram of the structure of an absolute radiation calibration system for a target remote sensing device provided in an embodiment of the present application specifically includes the following modules:

[0146] A first acquisition module 100 is used to perform regularization processing based on the one-line flight imaging image of the target object to obtain a first regularized image and a DN value of the target object in the first regularized image;

[0147] The second acquisition module 200 is used to acquire the environmental parameters of the target object when performing one-line flight imaging on the target object;

[0148] The calculation module 300 is used to perform radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device to obtain the TOA radiance of the reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object;

[0149] A reference radiation calibration module 400 is used to perform absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an absolute radiation calibration coefficient of the reference detector;

[0150] The absolute radiation calibration module 500 is used to transfer the absolute radiation calibration coefficient based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

[0151] In a possible implementation, the absolute radiation calibration module 500 is specifically used to:

[0152] Factor calculation is performed according to the spectral response function of the reference detector, the environmental parameters, and the spectral response functions corresponding to each of the multiple detectors to obtain multiple spectral matching factors; the spectral matching factors are spectral matching factors corresponding to each of the reference detector and the detector;

[0153] Absolute radiation calibration is performed according to the absolute radiation calibration coefficient of the reference detector and the spectral matching factors corresponding to the reference detector and the multiple detectors, and the absolute radiation calibration coefficients corresponding to the multiple detectors are calculated to obtain the absolute radiation calibration coefficients of all the detectors in the target remote sensing device.

[0154] In a possible implementation, the environmental parameters include: surface reflectivity and atmospheric parameters; the calculation module 300 is specifically used to:

[0155] Acquiring the surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and the payload spectral response function of the target remote sensing device; the payload spectral response function is used to represent the spectral response function of the reference detector;

[0156] The surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and payload spectral response function of the target remote sensing device are input into a preset radiation transfer model to obtain the TOA radiance of the reference detector.

[0157] In a possible implementation, the reference radiation calibration module 400 is specifically used to:

[0158] Calculating a calibration coefficient according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an initial absolute radiation calibration coefficient;

[0159] Perform brightness simulation based on the environmental parameters and the preset radiation transfer model to obtain an actual TOA radiance value under the environmental parameters;

[0160] Dynamically adjust the actual TOA radiance value according to a preset error adjustment coefficient to obtain a plurality of reference TOA radiance values;

[0161] Estimating uncertainty according to the actual TOA radiance value and the multiple reference TOA radiance values ​​to obtain the uncertainty of the absolute radiation calibration coefficient;

[0162] The initial absolute radiation calibration coefficient is optimized according to the uncertainty of the absolute radiation calibration coefficient to obtain the absolute radiation calibration coefficient of the reference detector.

[0163] In a possible implementation, the acquisition module 100 is specifically configured to:

[0164] Performing preliminary regularization processing on the one-line flight imaging image of the target object to obtain a second regularized image;

[0165] Performing relative radiation correction based on the second regularized image to obtain the first regularized image;

[0166] The brightness value is calculated according to the first regularized image to obtain the DN value of the target object in the first regularized image.

[0167] In a possible implementation, the system further includes: a dark current processing module; the dark current processing module is used to:

[0168] The dark current processing is performed on the one-line flying imaging image of the target object to remove the dark current in the one-line flying imaging image.

[0169] In a possible implementation, the dark current processing module is specifically used to:

[0170] Determining dark current data of the target remote sensing device according to the calibration data of the target remote sensing device;

[0171] Dark current processing is performed based on the dark current data of the target remote sensing device to remove the dark current in the one-line flight imaging image.

[0172] See also Fig.10, which is a schematic diagram of the structure of an absolute radiation calibration electronic device for a target remote sensing device provided in an embodiment of the present application, including:

[0173] A memory 11, used for storing computer programs;

[0174] The processor 12 is used to implement the steps of an absolute radiation calibration method for a target remote sensing device described in any of the above method embodiments when executing the computer program.

[0175] In this embodiment, the device may be a vehicle-mounted computer, a PC (Personal Computer), or a terminal device such as a smart phone, a tablet computer, a PDA, or a portable computer.

[0176] The device may include a memory 11 , a processor 12 , and a bus 13 .

[0177] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the device, such as a hard disk of the device. In other embodiments, the memory 11 can also be an external storage device of the device, such as a plug-in hard disk equipped on the device, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Further, the memory 11 can also include both an internal storage unit of the device and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the device, such as program codes for executing fault prediction methods, etc., but can also be used to temporarily store data that has been output or is to be output. The processor 12 can be a central processing unit (CPU) in some embodiments.

[0178] In some embodiments, the processor 12 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor or other data processing chip, and is used to run program codes or process data stored in the memory 11, such as program codes for executing a fault prediction method.

[0179] The bus 13 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.10 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0180] Furthermore, the device may also include a network interface 14, which may optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the device and other electronic devices.

[0181] Optionally, the device may further include a user interface 15, which may include a display (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 15 may also include a standard wired interface and a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the device and to display a visual user interface.

[0182] Fig.10 Only the device with components 11-15 is shown, and it can be understood by those skilled in the art that Fig.10 The structure shown does not constitute a limitation of the device, and may include fewer or more components than shown, or combine certain components, or arrange the components differently.

[0183] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, an embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the absolute radiation calibration method of the target remote sensing equipment as described in any of the above embodiments.

[0184] The computer-readable media of the embodiments of the present application include permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0185] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the absolute radiation calibration method of the target remote sensing device as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0186] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for methods, systems, electronic devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The methods, systems, electronic devices and media described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0187] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for absolute radiation calibration of a target remote sensing device, characterized in that: The target remote sensing device includes a plurality of detectors; the method includes: Performing regularization processing based on the one-line flight imaging image of the target object to obtain a first regularized image and a DN value of the target object in the first regularized image; When performing one-way flying imaging of the target object, obtaining environmental parameters of the target object; Performing radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device to obtain the TOA radiance of the reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object; Performing absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an absolute radiation calibration coefficient of the reference detector; Based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors, the absolute radiation calibration coefficient is transferred to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

2. The method according to claim 1, characterized in that The absolute radiation calibration coefficient is transferred based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device, including: Calculate the spectral matching factor according to the spectral response function of the reference detector, the environmental parameters and the spectral response functions corresponding to each of the multiple detectors to obtain multiple spectral matching factors; the spectral matching factor is the spectral matching factor corresponding to each of the reference detector and the detector; The absolute radiation calibration coefficient is transferred according to the absolute radiation calibration coefficient of the reference detector and the spectral matching factors corresponding to the reference detector and the multiple detectors, and the absolute radiation calibration coefficients corresponding to the multiple detectors are calculated to obtain the absolute radiation calibration coefficients of all the detectors in the target remote sensing device.

3. The method according to claim 1, characterized in that The environmental parameters include: surface reflectivity and atmospheric parameters; performing radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing equipment to obtain the TOA radiance of the reference detector of the target remote sensing equipment includes: Acquiring the surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and the payload spectral response function of the target remote sensing device; the payload spectral response function is used to represent the spectral response function of the reference detector; The surface reflectivity and atmospheric parameters of the target object, as well as the imaging geometric parameters and payload spectral response function of the target remote sensing equipment are input into a preset radiation transfer model to obtain the TOATOA radiance of the reference detector.

4. The method according to claim 3, characterized in that The absolute radiation calibration is performed according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain the absolute radiation calibration coefficient of the reference detector, including: Calculating a calibration coefficient according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image to obtain an initial absolute radiation calibration coefficient; Perform brightness simulation based on the environmental parameters and the preset radiation transfer model to obtain an actual TOA radiance value under the environmental parameters; Dynamically adjust the actual TOA radiance value according to a preset error adjustment coefficient to obtain a plurality of reference TOA radiance values; Estimating uncertainty according to the actual TOA radiance value and the multiple reference TOA radiance values ​​to obtain the uncertainty of the absolute radiation calibration coefficient; The initial absolute radiation calibration coefficient is optimized according to the uncertainty of the absolute radiation calibration coefficient to obtain the absolute radiation calibration coefficient of the reference detector.

5. The method according to claim 1, characterized in that The regularization processing is performed on the one-line flight imaging image based on the target object to obtain a first regularized image and a DN value of the target object in the first regularized image, including: Performing preliminary regularization processing on the one-line flight imaging image of the target object to obtain a second regularized image; Performing relative radiation correction based on the second regularized image to obtain the first regularized image; The brightness value is calculated according to the first regularized image to obtain the DN value of the target object in the first regularized image.

6. The method according to claim 1, characterized in that Before the regularization processing is performed on the one-line flight imaging image of the target object, the method further includes: The dark current processing is performed on the one-line flying imaging image of the target object to remove the dark current in the one-line flying imaging image.

7. The method according to claim 6, characterized in that The dark current processing is performed on the one-line flying imaging image of the target object to remove the dark current in the one-line flying imaging image, including: Determining dark current data of the target remote sensing device according to the calibration data of the target remote sensing device; Dark current processing is performed based on the dark current data of the target remote sensing device to remove the dark current in the one-line flight imaging image.

8. An absolute radiation calibration system for a target remote sensing device, characterized in that: The target remote sensing device includes a plurality of detectors; the system includes: A first acquisition module is used to perform regularization processing based on the one-line flight imaging image of the target object to obtain a first regularized image and a DN value of the target object in the first regularized image; A second acquisition module is used to acquire the environmental parameters of the target object when performing one-line flight imaging on the target object; A calculation module, configured to perform radiation transmission calculation according to the environmental parameters of the target object and the equipment parameters of the target remote sensing device, and obtain the TOA radiance of a reference detector of the target remote sensing device; the reference detector is a detector in the target remote sensing device that can detect the target object; A reference radiation calibration module, used to perform absolute radiation calibration according to the TOA radiance of the reference detector and the DN value of the target object in the first regularized image, to obtain an absolute radiation calibration coefficient of the reference detector; The absolute radiation calibration module is used to transfer the absolute radiation calibration coefficient based on the absolute radiation calibration coefficient of the reference detector and the functional relationship between the spectral response functions of the reference detector and the multiple detectors to obtain the absolute radiation calibration coefficients of all the detectors of the target remote sensing device.

9. An electronic device, characterized in that: The device comprises: a processor, a memory and a system bus; The processor and the memory are connected via the system bus; The memory is used to store one or more programs, wherein the one or more programs include instructions, and when the instructions are executed by the processor, the processor executes the absolute radiation calibration method for the target remote sensing device according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the absolute radiation calibration method of the target remote sensing device described in any one of claims 1 to 7 is implemented.

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