Remote sensing measurement method and device, electronic equipment and computer storage medium

Abstract

The embodiment of the invention provides a remote sensing measurement method and device, electronic equipment and a computer storage medium. The method comprises the following steps: acquiring an output value and a radiometric calibration coefficient of a remote sensing instrument in a current state, and converting the output value into an initial entrance pupil radiation quantity through the radiometric calibration coefficient; obtaining an energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determining a target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to a pre-constructed mapping relation between the energy transmission efficiency characterization value and the entrance pupil radiation offset; correcting the initial entrance pupil radiation quantity by adopting the target entrance pupil radiation offset to obtain a theoretical entrance pupil radiation quantity in a current state; the energy transmission efficiency characterization value represents the energy transmission efficiency of the remote sensing instrument; the entrance pupil radiation offset represents the offset of the entrance pupil radiation quantity caused by attenuation of the energy transmission efficiency of the remote sensing instrument. According to the embodiment of the invention, the accuracy of remote sensing measurement is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of microwave remote sensing technology, and in particular to a remote sensing measurement method, device, electronic equipment and computer storage medium. Background Art

[0002] Remote sensing measurement method is a non-contact measurement technology. Remote sensing measurement method uses remote sensing instruments to obtain the electromagnetic wave characteristics of target objects on the surface or in the atmosphere from a long distance, and then analyzes these data to reveal the characteristics, properties and changing laws of the target objects.

[0003] Specifically, remote sensing instruments can perform remote sensing measurements by receiving radiation signals from objects. For example, remote sensing instruments can be carried on satellites to observe the earth. The remote sensing instruments receive radiation signals from objects on the earth and then output a dimensionless digital output value without actual physical meaning. The output value is subsequently converted into pupil radiation with actual physical meaning that enters the remote sensing instrument through a calibration coefficient, that is, the remote sensing measurement result is obtained.

[0004] Practice has shown that there is usually a certain difference between the pupil radiation directly converted through the calibration coefficient and the radiation actually entering the remote sensing instrument, that is, the remote sensing measurement results obtained by the relevant technology are usually not accurate enough. Summary of the invention

[0005] In view of this, embodiments of the present application provide a remote sensing measurement method, device, electronic device and computer storage medium to solve some or all of the above problems.

[0006] According to a first aspect of an embodiment of the present application, a remote sensing measurement method is provided, comprising: Obtaining an output value and a radiation calibration coefficient of the remote sensing instrument in a current state, and converting the output value into an initial pupil radiation through the radiation calibration coefficient; Obtaining the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determining the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to the pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset; The target entrance pupil radiation offset is used to correct the initial entrance pupil radiation to obtain a theoretical entrance pupil radiation in a current state; The energy transmission efficiency characterization value represents the magnitude of the energy transmission efficiency of the remote sensing instrument; and the entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

[0007] According to a second aspect of an embodiment of the present application, a remote sensing measurement device is provided, comprising: An initial pupil radiation quantity obtaining module is used to obtain the output value and radiation calibration coefficient of the remote sensing instrument in the current state, and convert the output value into the initial pupil radiation quantity through the radiation calibration coefficient; A target entrance pupil radiation offset determination module is used to obtain the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determine the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to a pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset; A correction module, used to correct the initial entrance pupil radiation by using the target entrance pupil radiation offset to obtain a theoretical entrance pupil radiation in a current state; The energy transmission efficiency characterization value represents the magnitude of the energy transmission efficiency of the remote sensing instrument; and the entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

[0008] According to the third aspect of an embodiment of the present application, there is provided an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the method of the first aspect.

[0009] According to a fourth aspect of an embodiment of the present application, a computer storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method of the first aspect is implemented.

[0010] According to the remote sensing measurement method, device, electronic device and computer storage medium provided in the embodiments of the present application, after the entrance pupil radiation of the remote sensing instrument in the current state is obtained by converting the radiation calibration coefficient, the entrance pupil radiation is used as the initial entrance pupil radiation; according to the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, the target entrance pupil radiation offset corresponding to the energy transfer efficiency characterization value of the remote sensing instrument in the current state is determined; and then the initial entrance pupil radiation is corrected using the determined target entrance pupil radiation offset, so as to obtain the final remote sensing measurement result: the theoretical entrance pupil radiation.

[0011] The remote sensing measurement scheme provided in the embodiment of the present application does not directly use the pupil radiation obtained by conversion based on the radiation calibration coefficient as the final remote sensing measurement result, but uses the pupil radiation as the initial pupil radiation, and further determines the target pupil radiation offset from the perspective of the attenuation of the energy transmission efficiency of the remote sensing instrument, and further corrects the initial pupil radiation by the target pupil radiation offset, so that the theoretical pupil radiation obtained in the end is closer to the actual radiation entering the remote sensing instrument. In other words, compared with the method of directly using the pupil radiation obtained by conversion based on the radiation calibration coefficient as the remote sensing measurement result in the related art, the embodiment of the present application effectively improves the accuracy of remote sensing measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] 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 recorded in the embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0013] Figure 1 A flowchart of a remote sensing measurement method provided according to an embodiment of the present application; Figure 2 A schematic diagram of a remote sensing measurement process of a remote sensing measurement method provided according to an embodiment of the present application; Figure 3 A structural block diagram of a remote sensing measurement device provided according to an embodiment of the present application; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0014] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the embodiments of the present application should fall within the scope of protection of the embodiments of the present application.

[0015] General overview of the embodiments of the present application At present, remote sensing measurement of the target area through remote sensing instruments mainly involves two stages: The first stage is the radiation calibration stage. Specifically, the remote sensing instrument can be calibrated by the relevant radiation calibration method to obtain the calibration coefficient of the remote sensing instrument under different conditions. The calibration coefficient represents the quantitative relationship between the radiation entering the remote sensing instrument and the output value of the remote sensing instrument.

[0016] The second stage is the remote sensing measurement stage. Specifically, in actual measurement, the remote sensing instrument can be mounted on a mobile device (such as a satellite) to observe the target area (such as the earth). The remote sensing instrument receives the radiation signals of various objects in the target area, and then outputs a dimensionless digital output value without actual physical meaning. The calibration coefficient corresponding to the current state obtained in the first stage above is used to convert the digital output value of the remote sensing instrument into the pupil radiation entering the remote sensing instrument with actual physical meaning, that is, to obtain the remote sensing measurement result.

[0017] However, in the radiation calibration process of the first stage mentioned above, the remote sensing instrument is usually idealized as an instrument with a stable working state, and the change of the calibration coefficient is only determined by the ambient temperature of the remote sensing instrument, and there is no change in the radiation link parameters caused by other non-temperature factors. That is to say: the current radiation calibration scheme only considers the influence of the working temperature of the remote sensing instrument on the calibration coefficient when performing radiation calibration. But in fact, the calibration coefficient represents the ability of the remote sensing instrument to convert the received physical energy into output values, and the size of the calibration coefficient is determined by the basic properties of a series of components that constitute the remote sensing instrument (such as energy transmission efficiency, etc.). With the accumulation of working time, the basic properties of these components will decay to a certain extent. This decay will cause the calibration coefficient of the remote sensing instrument to be not only determined by temperature, that is: under the same working temperature, the calibration coefficient is also different, and this difference is caused by the decay of the energy transmission efficiency of the remote sensing instrument.

[0018] Since the above-mentioned radiation calibration method only considers the influence of the working temperature on the calibration coefficient, and does not consider the influence of other factors such as the attenuation of the remote sensing instrument, the obtained calibration coefficient cannot accurately characterize the ability of the remote sensing instrument to convert the physical energy received by the remote sensing instrument into an output value, that is, the obtained calibration coefficient is not accurate enough, and the entrance pupil radiation obtained based on the inaccurate calibration coefficient will have a certain difference from the actual radiation entering the remote sensing instrument, that is, the remote sensing measurement results obtained by related technologies are usually not accurate enough.

[0019] In response to the above problems, the embodiment of the present application provides an improved remote sensing measurement solution: the entrance pupil radiation obtained based on the conversion of the radiation calibration coefficient is not directly used as the final remote sensing measurement result, but the entrance pupil radiation is used as the initial entrance pupil radiation, and the target entrance pupil radiation offset is further determined from the perspective of the attenuation of the energy transmission efficiency of the remote sensing instrument, and the initial entrance pupil radiation is further corrected by the target entrance pupil radiation offset, so that the final theoretical entrance pupil radiation is closer to the actual radiation entering the remote sensing instrument. Compared with the method in the related art of directly using the entrance pupil radiation obtained based on the conversion of the radiation calibration coefficient as the remote sensing measurement result, the embodiment of the present application can effectively improve the accuracy of remote sensing measurement.

[0020] Detailed implementation process of the embodiment of this application Reference Figure 1 , Figure 1 The remote sensing measurement method provided in the embodiment of the present application comprises the following steps: Step 102, obtaining the output value and radiation calibration coefficient of the remote sensing instrument in the current state, and converting the output value into an initial pupil radiation through the radiation calibration coefficient.

[0021] Specifically, as described above, before remote sensing measurement is performed, the calibration coefficients of the remote sensing instrument in various states can be determined by using relevant radiation calibration coefficients. Afterwards, in an actual measurement scenario, after receiving the radiation signal, the remote sensing instrument can output a dimensionless digital output value, and then convert the digital output value into the entrance pupil radiation through the radiation calibration coefficient corresponding to the current state, and use the entrance pupil radiation as the initial entrance pupil radiation.

[0022] In the embodiment of the present application, there is no limitation on the specific method for obtaining the radiation calibration coefficient, and any suitable radiation calibration scheme may be used to obtain the coefficient.

[0023] Exemplarily, radiation calibration can be performed with the help of a radiation reference source to obtain a radiation calibration coefficient: a radiation reference source (such as a black body reference source) with a known brightness temperature is placed at a preset position in front of the antenna of the remote sensing instrument, and the microwave energy radiated by the radiation reference source will enter the microwave remote sensing instrument, thereby obtaining the output value of the microwave remote sensing instrument; according to the brightness temperature of the radiation reference source and the normalized direction function of the antenna system within the solid angle range of the antenna main lobe, the microwave radiation entering the microwave remote sensing instrument is obtained by integral operation, so that a set of calibration data consisting of the output value and the calculated radiation amount entering the microwave remote sensing instrument can be obtained; by changing the brightness temperature value of the radiation reference source and repeating the above process, multiple sets of calibration data can be obtained, and then, through the above multiple sets of calibration data, the radiation calibration coefficient that characterizes the quantitative relationship between the radiation amount entering the remote sensing instrument and the output value can be obtained. Optionally, in some embodiments, the radiation calibration coefficient can also be obtained with the help of a machine learning model.

[0024] Step 104, obtain the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determine the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state based on the pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset.

[0025] Among them, the energy transmission efficiency characterization value can represent the magnitude of the energy transmission efficiency of the remote sensing instrument; the entrance pupil radiation offset can represent the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

[0026] Specifically, in the embodiment of the present application, the specific method adopted when obtaining the energy transmission efficiency characterization value of the remote sensing instrument in the current state is not limited. For example: because the attenuation of energy transmission efficiency is usually related to the material used in the component, and for a specific material, there is usually a corresponding energy transmission efficiency characterization value calculation formula in the prior art. Therefore, in the embodiment of the present application, the energy transmission efficiency characterization value of the remote sensing instrument in the current state can be obtained by using the corresponding energy transmission efficiency characterization value calculation formula according to the materials of each component in the remote sensing instrument. For example, an energy transmission attenuation function (that is, an energy transmission efficiency calculation function) containing the attenuation coefficient to be solved can also be constructed; then, the energy transmission efficiency characterization value of the remote sensing instrument at multiple different times is measured or evaluated respectively, thereby forming multiple groups of test data, and the above multiple groups of test data are substituted into the above energy transmission attenuation function respectively, so as to form a group of equations containing the attenuation coefficient to be solved, and the attenuation coefficient can be obtained by solving the group of equations. After obtaining the attenuation coefficient, the energy transmission efficiency characterization value at any time can be obtained through the energy transmission attenuation function.

[0027] In addition, the entrance pupil radiation offset in the embodiment of the present application can characterize the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument, that is: the entrance pupil radiation offset is equal to the difference between the entrance pupil radiation obtained based on the radiation calibration coefficient conversion and the actual radiation entering the remote sensing instrument.

[0028] In an embodiment of the present application, the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different states and the entrance pupil radiation offset under each state can be obtained respectively; then, any suitable algorithm (such as data fitting, equation solving, etc.) can be used to obtain the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset.

[0029] Step 106, using the target entrance pupil radiation offset to correct the initial entrance pupil radiation to obtain a theoretical entrance pupil radiation in the current state.

[0030] Specifically, the target entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument. Therefore, in the embodiment of the present application, after the output value is converted into the initial entrance pupil radiation by the radiation calibration coefficient, the above-mentioned offset can be used to correct the above-mentioned initial entrance pupil radiation, so as to obtain the theoretical entrance pupil radiation in the current state.

[0031] In the embodiment of the present application, there is no limitation on the specific correction method of correcting the initial entrance pupil radiation using the target entrance pupil radiation offset, and the setting can be customized according to the actual situation. For example: for simplicity, the target entrance pupil radiation offset and the initial entrance pupil radiation can be summed, so that the sum result is determined as the theoretical entrance pupil radiation in the current state; for another example, the target entrance pupil radiation offset can be used as an independent variable, and a preset function calculation is performed, so that the calculation result and the initial entrance pupil radiation are summed, and the sum result is determined as the theoretical entrance pupil radiation in the current state, wherein the preset function can be any suitable function expression; for another example: the target entrance pupil radiation offset and the initial entrance pupil radiation can also be used as independent variables, and a preset function calculation is performed, so that the calculation result is determined as the theoretical entrance pupil radiation in the current state, and so on.

[0032] The remote sensing measurement scheme provided in the embodiment of the present application does not directly use the pupil radiation obtained by conversion based on the radiation calibration coefficient as the final remote sensing measurement result, but uses the pupil radiation as the initial pupil radiation, and further determines the target pupil radiation offset from the perspective of the attenuation of the energy transmission efficiency of the remote sensing instrument, and further corrects the initial pupil radiation by the target pupil radiation offset, so that the theoretical pupil radiation obtained in the end is closer to the actual radiation entering the remote sensing instrument. In other words, compared with the method of directly using the pupil radiation obtained by conversion based on the radiation calibration coefficient as the remote sensing measurement result in the related art, the embodiment of the present application effectively improves the accuracy of remote sensing measurement.

[0033] Optionally, in some of the embodiments, before obtaining the energy transmission efficiency characterization value of the remote sensing instrument in the current state, the remote sensing measurement method may further include: Obtain energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value; Based on the acquired energy transfer efficiency characterization values ​​and the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, a mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset is calculated.

[0034] Specifically, the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states and the entrance pupil radiation offset under each state can be obtained respectively; then, the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset can be obtained by using data fitting algorithms, equation solving algorithms, etc.

[0035] Optionally, in some of the embodiments, the process of obtaining the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value includes: Obtaining the initial pupil radiation of the remote sensing instrument under multiple different test conditions, as well as the actual pupil radiation under each test condition; For the same test state, the difference between the actual entrance pupil radiation under the test state and the initial entrance pupil radiation is calculated to obtain the entrance pupil radiation offset corresponding to the energy transfer efficiency characterization value under the test state.

[0036] Specifically, the actual pupil radiation under each test state can be obtained by any suitable existing calibration test method. Exemplarily, the calibration test method can be: GSICS (Global Space-Based Inter-Calibration System) method, or an alternative calibration test method targeting a stable surface area (such as a desert, ocean, lake, etc.), etc.

[0037] Optionally, in some of the embodiments, before calculating the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, the remote sensing measurement method may further include: Construct an energy transfer attenuation function with a preset attenuation coefficient and attenuation time as independent variables and an energy transfer efficiency characterization value as a dependent variable; Obtain energy transmission efficiency characterization values ​​of remote sensing instruments under multiple different test conditions, including: The energy transmission efficiency characterization value of the remote sensing instrument under multiple different test states is obtained through the energy transmission attenuation function; wherein the energy transmission efficiency characterization value of the remote sensing instrument under the test state is a function with a preset attenuation coefficient and attenuation time as independent variables; Based on the energy transfer efficiency characterization values ​​obtained under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, a mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset is calculated, including: Based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient are calculated.

[0038] Specifically, in the above-mentioned embodiment of the present application, an energy transfer attenuation function is first constructed with a preset attenuation coefficient and attenuation time as independent variables and an energy transfer efficiency characterization value as a dependent variable, thereby representing the energy transfer efficiency characterization value as a function with a preset attenuation coefficient and attenuation time as independent variables. Thereafter, through the energy transfer efficiency characterization value and the entrance pupil radiation offset under different test states, a reverse calculation is performed to obtain the coefficient value of the above-mentioned preset attenuation coefficient, as well as the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset.

[0039] The above process does not use the existing relevant theoretical calculation formula to calculate the energy transfer efficiency characterization value, but introduces a preset attenuation coefficient to construct an energy transfer attenuation function to characterize the energy transfer efficiency characterization value, and then by collecting the energy transfer efficiency characterization value and the entrance pupil radiation offset under different test states, while solving the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, the coefficient value of the preset attenuation coefficient is solved. Since the embodiment of the present application starts from multiple groups of actual data and obtains the coefficient value of the preset attenuation coefficient through reverse solution, a more accurate energy transfer efficiency characterization value can be obtained by solving the preset attenuation coefficient and the energy transfer attenuation function. In addition, the above reverse solution process can simultaneously obtain the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient, thereby also improving the overall calculation efficiency.

[0040] In the embodiments of the present application, there is no limitation on the number of preset attenuation coefficients and the specific form of the energy transfer attenuation function, which can be customized according to actual conditions and experience. That is, any energy transfer attenuation function with the preset attenuation coefficient and attenuation time as independent variables and the energy transfer efficiency characterization value as the dependent variable is within the protection scope of the present application.

[0041] Optionally, in some of the embodiments, the energy transfer attenuation function may be:

[0042] in, represents the energy transmission efficiency characterization value of the i-th component in the remote sensing instrument, , P is the total number of components included in the remote sensing instrument; represents the decay time; represents the j-th preset attenuation coefficient for the i-th component; Characterizes the highest attenuation index of the component preset according to the component characteristics of the i-th component.

[0043] Specifically, in the above embodiment of the present application, the components (such as reflectors, transmission mirrors, sensors, etc.) constituting the remote sensing instrument are numbered, and the energy transmission efficiency characterization values ​​of these components are set to be .make express Over time The energy transfer attenuation function.

[0044] For any component in the remote sensing instrument, The advantage of using a function of the form as the energy transfer attenuation function of the component is that by setting different K values ​​and solving the attenuation coefficient, an energy transfer attenuation function that can well simulate many types of rules can be obtained. That is to say, by changing the K value and solving the attenuation coefficient, the above function can well characterize various types of rules. Therefore, when the true energy transfer attenuation rules of each component are unknown, the above function can more accurately obtain the energy transfer efficiency characterization value of each component. Moreover, the energy transfer attenuation characteristics of different components are usually different. In the above function, different K values ​​can be set for different components to adjust the complexity of the model, so as to more flexibly and accurately characterize the energy transfer characteristics of different components. In addition, the above function is a mathematically simple and easy-to-understand function form, and it can accurately simulate other complex mathematical expressions (such as exponential models, logarithmic models, etc.) with high precision through the accurate coefficient solution process. At the same time, its calculation process is also faster and simpler.

[0045] Optionally, in some of the embodiments, based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states and the entrance pupil radiation offsets corresponding to the energy transmission efficiency characterization values, the process of calculating the mapping relationship between the energy transmission efficiency characterization values ​​and the entrance pupil radiation offsets, and the coefficient value of the preset attenuation coefficient may include: Based on the energy transfer efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, an overdetermined equation group is established; the overdetermined equation group is solved to obtain the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient.

[0046] Specifically, based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, the constructed equation group can be:

[0047]

[0048] in, is the brightness temperature of the target object in the target area measured by the remote sensing instrument under the i-th test state; is the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset; is the total number of test states; It is the entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the i-th test state.

[0049] Analyzing the above equations, we can see that when enough test states are observed, that is, when When the value is large enough, the above equations are transformed into an overdetermined equations. Solving the overdetermined equations (exemplarily, an optimization algorithm such as a particle swarm optimization algorithm, etc.) can obtain the coefficient value of the preset attenuation coefficient of the remote sensing instrument: , and the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset: .

[0050] Afterwards, for any moment , can be passed And the above equations to find the corresponding entrance pupil radiation offset ; Use again By correcting the deviation of the initial entrance pupil radiation obtained based on the conversion of the radiation calibration coefficient, the theoretical entrance pupil radiation with higher accuracy and closer to the actual entrance pupil radiation can be obtained. At this point, the final remote sensing measurement result is obtained.

[0051] Optionally, in some of the embodiments, the process of obtaining the radiation calibration coefficient of the remote sensing instrument in the current state in the above step 102 can be implemented with the help of a machine learning model. Specifically, it can be implemented as follows: The state parameters of the remote sensing instrument in the current state are obtained; the output value and state parameters of the remote sensing instrument in the current state are input into the calibration coefficient prediction model obtained by pre-training to obtain the radiation calibration coefficient of the remote sensing instrument in the current state.

[0052] Specifically, the state parameter may be a numerical value of a state parameter that affects the radiation response performance of the remote sensing instrument, such as the temperature value of each component in the remote sensing instrument.

[0053] The calibration coefficient prediction model can be a neural network model pre-trained with training sample data. The embodiments of the present application do not limit the specific model structure of the calibration coefficient prediction model and the parameter settings in the model, and can be customized and set according to actual conditions. Among them, the above-mentioned training sample data may include: state parameters of the remote sensing instrument under different historical states, and the radiation calibration coefficient of the remote sensing instrument under each historical state. The training process of the calibration coefficient prediction model may include: inputting the state parameters in the training sample data into the calibration coefficient prediction model, and outputting the predicted radiation calibration coefficient through the calibration coefficient prediction model; calculating the loss function value according to the predicted radiation calibration coefficient and the corresponding radiation calibration coefficient in the training sample data; reversely adjusting the model parameters inside the calibration coefficient prediction model according to the calculated loss function value, so as to obtain a trained calibration coefficient prediction model.

[0054] In the above scheme of radiation calibration through machine learning model, since the calibration coefficient prediction model is usually trained based on historical calibration sample data, the model can usually learn the mapping relationship between the input value and the radiation calibration coefficient very well. Therefore, when the actual reasoning is performed based on the model, a more accurate radiation calibration coefficient prediction result in the current state can be obtained. In addition, since the calibration coefficient prediction model is pre-trained, in the actual reasoning stage, it is only necessary to input the state parameters in the current state into the calibration coefficient prediction model to obtain the radiation calibration coefficient of the remote sensing instrument in the current state. Therefore, the efficiency of radiation calibration can be effectively improved. In summary, the above scheme of radiation calibration through machine learning model can improve the accuracy and efficiency of radiation calibration.

[0055] Furthermore, after obtaining the radiation calibration coefficient and output value of the remote sensing instrument in the current state, the output value must be converted into the initial pupil radiation through the radiation calibration coefficient. The following is an explanation of the above conversion process: The output value of the remote sensing instrument in the working state, the radiation calibration coefficient corresponding to the working state, and the pupil radiation of the remote sensing instrument in the working state satisfy the following relationship:

[0056] in, is the radiation entering the remote sensing instrument, also known as the pupil radiation; is the output value of the remote sensing instrument; is the first in a set of radiation calibration coefficients The radiation calibration factor, is the total number of radiation calibration coefficients, The value can be preset to an integer greater than 0.

[0057] Therefore, after obtaining the radiation calibration coefficient and output value of the remote sensing instrument in the current state, the radiation calibration coefficient and output value can be substituted into the above relationship. By solving the relationship, the entrance pupil radiation of the remote sensing instrument can be obtained as the initial entrance pupil radiation in the embodiment of the present application.

[0058] See also Figure 2 , Figure 2 The remote sensing measurement flow diagram of the remote sensing measurement method provided according to the embodiment of the present application is shown below. Figure 2 The remote sensing measurement scheme provided in the embodiment of the present application is briefly described: Before actual measurement, machine learning methods and artificial intelligence technology can be used to calibrate the radiation of the remote sensing instrument to obtain the radiation calibration coefficient of the remote sensing instrument under different conditions.

[0059] During actual measurement, after obtaining the output value of the remote sensing instrument in the current state, on the one hand, the above output value can be converted into the initial entrance pupil radiation through the above radiation calibration coefficient; on the other hand, the energy transmission efficiency characterization value of the remote sensing instrument in the current state can be obtained, and based on the pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state can be determined.

[0060] Afterwards, the target entrance pupil radiation offset can be used to correct the initial entrance pupil radiation, and the correction result can be used as the theoretical entrance pupil radiation in the current state. Thus, a high-precision entrance pupil radiation is obtained as a remote sensing measurement result.

[0061] Figure 3 The remote sensing measurement device provided in the embodiment of the present application may include: The initial pupil radiation quantity obtaining module 302 is used to obtain the output value and radiation calibration coefficient of the remote sensing instrument in the current state, and convert the output value into the initial pupil radiation quantity through the radiation calibration coefficient; The target entrance pupil radiation offset determination module 304 is used to obtain the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determine the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to the pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset; A correction module 306 is used to correct the initial entrance pupil radiation using the target entrance pupil radiation offset to obtain a theoretical entrance pupil radiation in a current state; Among them, the energy transmission efficiency characterization value represents the magnitude of the energy transmission efficiency of the remote sensing instrument; the entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

[0062] Optionally, in some of the embodiments, the remote sensing measurement device also includes: a mapping relationship obtaining module, which is used to: obtain the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value before obtaining the energy transmission efficiency characterization value of the remote sensing instrument under the current state; based on the acquired energy transmission efficiency characterization values ​​and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, calculate the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset.

[0063] Optionally, in some of the embodiments, when the mapping relationship obtaining module executes the step of obtaining the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, it is specifically used to: obtain the initial entrance pupil radiation of the remote sensing instrument under multiple different test states, and the actual entrance pupil radiation under each test state; for the same test state, calculate the difference between the actual entrance pupil radiation under the test state and the initial entrance pupil radiation, and obtain the entrance pupil radiation offset corresponding to the energy transfer efficiency characterization value under the test state.

[0064] Optionally, in some of the embodiments, the mapping relationship obtaining module, before calculating the mapping relationship between the energy transfer efficiency representation value and the entrance pupil radiation offset, is further used to: construct an energy transfer attenuation function with a preset attenuation coefficient and an attenuation time as independent variables and with the energy transfer efficiency representation value as a dependent variable; Correspondingly, the mapping relationship obtaining module, when executing the step of obtaining the energy transmission efficiency characterization value of the remote sensing instrument under multiple different test states, is specifically used to: obtain the energy transmission efficiency characterization value of the remote sensing instrument under multiple different test states through the energy transmission attenuation function; wherein the energy transmission efficiency characterization value of the remote sensing instrument under the test state is a function with a preset attenuation coefficient and an attenuation time as independent variables; The mapping relationship obtaining module, when executing the step of calculating the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset based on the energy transfer efficiency characterization values ​​obtained under multiple different test states and the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, is specifically used to: Based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient are calculated.

[0065] Optionally, in some of the embodiments, the energy transfer attenuation function is:

[0066] in, represents the energy transmission efficiency characterization value of the i-th component in the remote sensing instrument, , P is the total number of components included in the remote sensing instrument; represents the decay time; represents the j-th preset attenuation coefficient for the i-th component; Characterizes the highest attenuation index of the component preset according to the component characteristics of the i-th component.

[0067] Optionally, in some of the embodiments, the mapping relationship obtaining module, when executing the step of calculating the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, and the coefficient value of the preset attenuation coefficient based on the energy transmission efficiency characterization value of the remote sensing instrument under multiple different test states and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, is specifically used to: Based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, an overdetermined equation group is established; The overdetermined equations are solved to obtain the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient.

[0068] Optionally, in some of the embodiments, the initial pupil radiation obtaining module 302, when executing the step of obtaining the radiation calibration coefficient of the remote sensing instrument in the current state, is specifically used to: The state parameters of the remote sensing instrument in the current state are obtained, wherein the state parameters are the numerical values ​​of the state parameters that affect the radiation response performance of the remote sensing instrument; the output value and state parameters of the remote sensing instrument in the current state are input into the calibration coefficient prediction model obtained by pre-training to obtain the radiation calibration coefficient of the remote sensing instrument in the current state.

[0069] The remote sensing measurement device of this embodiment is used to implement the corresponding remote sensing measurement method in the aforementioned embodiment 1, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here. In addition, the functional implementation of each module in the remote sensing measurement device of this embodiment can refer to the description of the corresponding part in the aforementioned method embodiment, which will not be described in detail here.

[0070] Reference Figure 4 , shows a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. The specific embodiment of the present application does not limit the specific implementation of the electronic device.

[0071] like Figure 4 As shown, the electronic device may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0072] in: The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0073] The communication interface 404 is used to communicate with other electronic devices.

[0074] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the above-mentioned remote sensing measurement method embodiment.

[0075] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0076] The processor 402 may be a CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application. The one or more processors included in the smart device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0077] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0078] The program 410 may include multiple computer instructions. Specifically, the program 410 may enable the processor 402 to execute operations corresponding to the remote sensing measurement method described in any of the aforementioned method embodiments through the multiple computer instructions.

[0079] The specific implementation of each step in program 410 can refer to the corresponding description of the corresponding steps and units in the above method embodiment, and has corresponding beneficial effects, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described devices and modules can refer to the corresponding process description in the above method embodiment, which will not be repeated here.

[0080] The present application also provides a computer storage medium on which a computer program is stored, and when the program is executed by a processor, the method described in any of the above-mentioned multiple method embodiments is implemented. The computer storage medium includes, but is not limited to: a compact disc read-only memory (CD-ROM), a random access memory (RAM), a floppy disk, a hard disk, or a magneto-optical disk, etc.

[0081] An embodiment of the present application also provides a computer program product, including computer instructions, which instruct a computing device to execute operations corresponding to any remote sensing measurement method in the above-mentioned multiple method embodiments.

[0082] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present application can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present application.

[0083] The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as a CD-ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an application-specific integrated circuit (ASIC) or a field programmable gate array (FPGA)). It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component (e.g., a random access memory (RAM), a read-only memory (ROM), a flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, a processor, or hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.

[0084] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0085] The above implementation methods are only used to illustrate the embodiments of the present application, and are not limitations on the embodiments of the present application. Ordinary technicians in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of the present application. The scope of patent protection of the embodiments of the present application should be limited by the claims.

Claims

1. A remote sensing measurement method, characterized in that: include: Obtaining an output value and a radiation calibration coefficient of the remote sensing instrument in a current state, and converting the output value into an initial pupil radiation through the radiation calibration coefficient; Obtaining the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determining the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to the pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset; The target entrance pupil radiation offset is used to correct the initial entrance pupil radiation to obtain a theoretical entrance pupil radiation in a current state; The energy transmission efficiency characterization value represents the magnitude of the energy transmission efficiency of the remote sensing instrument; and the entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

2. The method according to claim 1, characterized in that Before obtaining the energy transmission efficiency characterization value of the remote sensing instrument in the current state, the method further includes: Obtain energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value; Based on the acquired energy transfer efficiency characterization values ​​and the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value, a mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset is calculated.

3. The method according to claim 2, characterized in that The process of obtaining the entrance pupil radiation offset corresponding to each energy transfer efficiency characterization value includes: Obtaining the initial pupil radiation of the remote sensing instrument under multiple different test conditions, as well as the actual pupil radiation under each test condition; For the same test state, the difference between the actual entrance pupil radiation under the test state and the initial entrance pupil radiation is calculated to obtain the entrance pupil radiation offset corresponding to the energy transfer efficiency characterization value under the test state.

4. The method according to claim 2 or 3, characterized in that: Before calculating the mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, the method further includes: Construct an energy transfer attenuation function with a preset attenuation coefficient and attenuation time as independent variables and an energy transfer efficiency characterization value as a dependent variable; The obtaining of energy transmission efficiency characterization values ​​of the remote sensing instrument under a plurality of different test conditions comprises: By using the energy transmission attenuation function, the energy transmission efficiency characterization value of the remote sensing instrument under multiple different test states is obtained; wherein the energy transmission efficiency characterization value of the remote sensing instrument under the test state is a function with the preset attenuation coefficient and attenuation time as independent variables; The mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset is calculated based on the energy transmission efficiency characterization values ​​obtained under multiple different test states and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, including: Based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test conditions, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, as well as the coefficient value of the preset attenuation coefficient are calculated.

5. The method according to claim 4, characterized in that The energy transfer attenuation function is: in, represents the energy transmission efficiency characterization value of the i-th component in the remote sensing instrument, , P is the total number of components included in the remote sensing instrument; represents the decay time; represents the j-th preset attenuation coefficient for the i-th component; Characterizes the highest attenuation index of the component preset according to the component characteristics of the i-th component.

6. The method according to claim 5, characterized in that The energy transmission efficiency characterization value based on the remote sensing instrument under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, calculates the mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset, and the coefficient value of the preset attenuation coefficient, including: Based on the energy transmission efficiency characterization values ​​of the remote sensing instrument under multiple different test states, and the entrance pupil radiation offset corresponding to each energy transmission efficiency characterization value, an overdetermined equation group is established; The overdetermined equation group is solved to obtain a mapping relationship between the energy transfer efficiency characterization value and the entrance pupil radiation offset, as well as a coefficient value of the preset attenuation coefficient.

7. The method according to any one of claims 1 to 3, characterized in that: The process of obtaining the radiation calibration coefficient of the remote sensing instrument in its current state includes: Acquiring a state parameter of the remote sensing instrument in a current state, wherein the state parameter is a value of a state parameter that affects the radiation response performance of the remote sensing instrument; The output value of the remote sensing instrument in the current state and the state parameter are input into a calibration coefficient prediction model obtained by pre-training to obtain the radiation calibration coefficient of the remote sensing instrument in the current state.

8. A remote sensing measurement device, characterized in that: include: An initial pupil radiation quantity obtaining module is used to obtain the output value and radiation calibration coefficient of the remote sensing instrument in the current state, and convert the output value into the initial pupil radiation quantity through the radiation calibration coefficient; A target entrance pupil radiation offset determination module is used to obtain the energy transmission efficiency characterization value of the remote sensing instrument in the current state, and determine the target entrance pupil radiation offset corresponding to the energy transmission efficiency characterization value of the remote sensing instrument in the current state according to a pre-constructed mapping relationship between the energy transmission efficiency characterization value and the entrance pupil radiation offset; A correction module, used to correct the initial entrance pupil radiation by using the target entrance pupil radiation offset to obtain a theoretical entrance pupil radiation in a current state; The energy transmission efficiency characterization value represents the magnitude of the energy transmission efficiency of the remote sensing instrument; and the entrance pupil radiation offset represents the offset of the entrance pupil radiation caused by the attenuation of the energy transmission efficiency of the remote sensing instrument.

9. An electronic device, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the method according to any one of claims 1 to 7.

10. A computer storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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