Remote sensing detector integration time fast self-adaption method and device under fixed frame frequency

Abstract

The invention discloses a rapid self-adaption method and device for integral time of a remote sensing detector under a fixed frame frequency, and relates to the field of remote sensing detection.The method comprises the steps that an image signal matrix is normally collected based on an image collection identification signal; adjusting the integral time of the detector according to the value distribution information of the first p rows of elements of the image signal matrix; recollecting the first p rows of elements based on the image collection identification signal of the next frame, and adjusting the integral time of the detector for multiple times according to the numerical value distribution information of each element; judging whether the final adjusted detector integration time of the current frame continues to be adjusted or not; and if yes, continuing to collect the image of the next frame, and if not, ending the adjustment process of the integral time of the detector. The method can effectively improve the self-adaptive speed of the integral time of the remote sensing detector.

Description

Technical Field

[0001] The present application relates to the field of remote sensing detection, and in particular to a method and device for rapid self-adaptation of integration time of a remote sensing detector under a fixed frame rate. Background Art

[0002] Remote sensing measurement of rapid changes in observation targets has important practical significance for climate change monitoring and scientific research. However, due to the limited integration capacitance of the detector, the image may be too dark or too bright at a fixed integration time. The reason is that the detector integration time is too short or too long. Since remote sensing detection applications have high requirements for image registration accuracy, when the image acquisition signal arrives, the detector needs to start integration observation immediately, match the time code of the image acquisition signal with the remote sensing image, and obtain usable data for remote sensing inversion. Therefore, the image frame frequency of remote sensing observation is often a fixed value at this stage. By transmitting the image acquisition signal at a fixed interval to the detector, remote sensing observation at a fixed frame rate is achieved. If the detector does not perform integration sampling according to the image acquisition signal, the remote sensing image will not match the image acquisition time code, and the image acquisition time code corresponds to the orbital position of the remote sensing satellite. Therefore, the remote sensing image cannot be matched with the real observation target, which ultimately leads to the inability to perform remote sensing inversion of the remote sensing image.

[0003] If the existing detector integration time adaptive algorithm is simply applied under the fixed frame rate constraint, the detector integration time adjustment process will be very long. Even after the observed target changes, the process is not completed, making it difficult to obtain usable data. Summary of the invention

[0004] The purpose of this application is to provide a method and device for rapid self-adaptation of the integration time of a remote sensing detector under a fixed frame rate, which can effectively improve the self-adaptation speed of the integration time of the remote sensing detector.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for fast self-adaptation of integration time of a remote sensing detector at a fixed frame rate, comprising:

[0007] Acquire an image acquisition identification signal and remote sensing detector timing data; the remote sensing detector timing data includes the time required for the detector initialization operation before integration, the detector readout time, the initial detector integration time, the maximum detector integration time and the minimum detector integration time; the initial detector integration time is the integration time under saturation or the integration time under under saturation;

[0008] Collect a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all image information detected by the detector;

[0009] According to the numerical distribution information of the first p rows of the first image signal matrix, the first detector integration time is set; the minimum detector integration time ≤ the first detector integration time ≤ the maximum detector integration time;

[0010] Obtaining an image acquisition identification signal for the next frame;

[0011] Re-collecting the first p row elements of the first image signal matrix according to the current integration time of the first detector to obtain a second image signal matrix;

[0012] In the current frame, according to the numerical distribution information of each element in the second image signal matrix, the detector integration time is adjusted multiple times while satisfying the timing constraints; it is determined whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, return to the step of "obtaining the image acquisition identification signal of the next frame"; if not, the adjustment process of the detector integration time ends; the timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

[0013] In a second aspect, the present application provides a remote sensing detector integration time fast self-adaptation device at a fixed frame rate, comprising:

[0014] A signal and timing constraint acquisition module, used to acquire an image acquisition identification signal and remote sensing detector timing data; the remote sensing detector timing data includes the time required for the detector initialization operation before integration, the detector readout time, the initial detector integration time, the maximum detector integration time and the minimum detector integration time; the initial detector integration time is the integration time under saturation or the integration time under under saturation;

[0015] A first image acquisition module is used to acquire a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all image information detected by the detector;

[0016] A first detector integration adjustment module, used to set the first detector integration time according to the numerical distribution information of the first p row elements of the first image signal matrix; the minimum detector integration time ≤ the first detector integration time ≤ the maximum detector integration time;

[0017] A signal acquisition module, used to acquire an image acquisition identification signal of the next frame;

[0018] A second image acquisition module, used for re-acquiring the first p row elements of the first image signal matrix according to the current integration time of the first detector, to obtain a second image signal matrix;

[0019] The second detector integration adjustment module is used to adjust the detector integration time multiple times in the current frame according to the numerical distribution information of each element in the second image signal matrix while satisfying the timing constraints; determine whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, execute the step of "obtaining the image acquisition identification signal of the next frame" in the signal acquisition module; if not, the adjustment process of the detector integration time ends; the timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

[0020] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned method for rapid adaptation of the remote sensing detector integration time at a fixed frame rate.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for rapid adaptation of the integration time of a remote sensing detector at a fixed frame rate.

[0022] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for rapid adaptation of the integration time of a remote sensing detector under a fixed frame rate.

[0023] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0024] The present application provides a method and device for rapid self-adaptation of the integration time of a remote sensing detector under a fixed frame rate. According to the on-orbit working state of the remote sensing detector, the timing constraints of the fixed frame rate are taken into account, and the integration time is adjusted by acquiring part of the remote sensing image (the first p rows of elements), interrupting the subsequent readout operation to save time. In addition, multiple integration time adjustment operations can be implemented within a single image acquisition cycle, effectively improving the self-adaptation speed of the integration time of the remote sensing detector, thereby quickly acquiring available remote sensing image data. The method can be widely used in the field of remote sensing detection where the observation target changes rapidly. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] 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 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 work.

[0026] Figure 1A schematic diagram of a flow chart of a method for rapid self-adaptation of integration time of a remote sensing detector at a fixed frame rate provided in one embodiment of the present application;

[0027] Figure 2 A schematic diagram of a technical route for a fast adaptive method for integration time of a remote sensing detector at a fixed frame rate provided in one embodiment of the present application;

[0028] Figure 3 A timing diagram of rapid self-adaptation of detector integration time provided in an embodiment of the present application;

[0029] Figure 4 A schematic diagram of functional modules of a fast adaptive device for integration time of a remote sensing detector at a fixed frame rate provided by another embodiment of the present application;

[0030] Figure 5 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] The purpose of the present invention is to provide a method and device for rapid self-adaptation of the integration time of a remote sensing detector under a fixed frame rate, aiming to quickly adjust the integration time under the constraint of a fixed frame rate and in saturated and under-saturated conditions to obtain usable remote sensing image data. The method can be widely used in the field of remote sensing detection with high image registration accuracy and rapidly changing observation targets.

[0033] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0034] Existing detector integration time adaptive algorithms often do not consider the timing constraints of the detector integration time change. If simply applied under the fixed frame rate constraint, the detector integration time adjustment process will be very long. Even after the observed target changes, the process is not completed, making it difficult to obtain usable data. In this regard, this embodiment provides a method for rapid adaptation of the remote sensing detector integration time under a fixed frame rate, a method for rapid adaptation of the remote sensing detector integration time under saturation and under-saturation conditions under the fixed frame rate constraint, such as Figure 1 and Figure 2 As shown, the method for rapid self-adaptation of remote sensing detector integration time at a fixed frame rate includes the following steps.

[0035] S1: Acquire image acquisition identification signal and remote sensing detector timing data; the remote sensing detector timing data includes the time t required for the detector initialization operation before integration i , detector readout time t r , initial detector integration time, detector maximum integration time t max and the detector minimum integration time t min ; The initial detector integration time is the integration time under saturation conditions or the integration time under under saturation conditions.

[0036] S2: Collect a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all the image information detected by the detector. The first image signal matrix is ​​an image signal matrix A with m rows and n columns. m×n .

[0037] S3: According to the numerical distribution information of the first p rows of elements of the first image signal matrix (i.e., the number of saturated elements and the number of under-saturated elements), set the first detector integration time (a new detector integration time); the detector minimum integration time ≤ the first detector integration time ≤ the detector maximum integration time.

[0038] Specifically, according to the numerical distribution information of the first p rows of elements of the first image signal matrix, the number of saturated elements and the number of undersaturated elements in the first p rows of elements are determined. The number of saturated elements and the number of undersaturated elements in the first p rows of elements of the first image signal matrix are substituted into the threshold judgment function to obtain the first detector integration time. The number of saturated elements refers to the number of elements whose digital values ​​reach the set maximum digital value threshold; the number of undersaturated elements refers to the number of elements whose digital values ​​do not reach the set minimum digital value threshold.

[0039] The expression of the threshold judgment function is:

[0040]

[0041] Where, t next represents the second detector integration time; t now Indicates the integration time of the first detector; Q max Indicates the number of saturated elements; Q min represents the number of undersaturated elements; p and n represent the pth row and nth column of the first image signal matrix; a1, a2, a3, a4, b1, b2, b3, b4 are empirically set values. b1, b2, b3, b4 are all in the range of 0 to 1. min ≤t next ≤t max .t min ≤tnow ≤t max .

[0042] Since the initial detector integration time is the integration time under saturation or under saturation, that is, the integration time to be adjusted, a new integration time is directly set according to the threshold judgment function in this step.

[0043] In step S3, after calculating a new detector integration time (ie, the first detector integration time), directly wait for the image acquisition identification signal to perform image acquisition, and confirm whether the adjusted detector integration time is appropriate through image acquisition. If not, continue to adjust.

[0044] S4: Waiting for the image acquisition identification signal (ie, after the image acquisition identification signal of the next frame is sent out, obtaining the image acquisition identification signal of the next frame).

[0045] S5: re-collecting the first p row elements of the first image signal matrix according to the current integration time of the first detector to obtain a second image signal matrix.

[0046] In this step, the image matrix B of the first p rows of data is collected. p×n , interrupting the readout operation of the subsequent rows. The interruption of the readout operation of the subsequent rows of the detector saves time. The time saved is t save for:

[0047]

[0048] S6: In the current frame, according to the numerical distribution information of each element in the second image signal matrix, the detector integration time is adjusted multiple times while satisfying the timing constraints; it is determined whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, it returns to the step of "obtaining the image acquisition identification signal of the next frame"; if not, the adjustment process of the detector integration time ends. The timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

[0049] The above-mentioned steps S1 to S6 are implemented, the timing constraints of the fixed frame rate are taken into account, and the acquisition of part of the remote sensing image is used as a judgment to interrupt the subsequent read-out operation to save time. Multiple integration time adjustment operations can be implemented within a single image acquisition cycle, and the integration time can be quickly adjusted under the constraints of the fixed frame rate and in saturation and under-saturation conditions, which effectively improves the adaptive speed of the integration time of the remote sensing detector, thereby quickly acquiring available remote sensing image data, and can be widely used in the field of remote sensing detection where the observation target changes rapidly.

[0050] In another exemplary embodiment of the present application, step S6, in the current frame, according to the numerical distribution information of each element in the second image signal matrix, the detector integration time is adjusted multiple times; it is determined whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, returning to the step of "obtaining the image acquisition identification signal of the next frame"; if not, the adjustment process of the detector integration time ends, specifically including:

[0051] (1) According to the numerical distribution information of each element in the second image signal matrix, the second detector integration time is set; the minimum detector integration time ≤ the second detector integration time ≤ the maximum detector integration time.

[0052] The step of setting the second detector integration time according to the numerical distribution information of each element in the second image signal matrix specifically includes:

[0053] (a1) Determining the number of saturated elements and the number of undersaturated elements in the second image signal matrix according to the numerical distribution information of each element in the second image signal matrix.

[0054] (b1) Substituting the number of saturated elements and the number of under-saturated elements of the second image signal matrix into a threshold judgment function to obtain the second detector integration time.

[0055] The expression of the threshold judgment function here is the same as the expression for calculating the integration time of the first detector, except that the meaning of the parameters has changed. In the expression of the threshold judgment function for calculating the integration time of the second detector, t next It is expressed as the second detector integration time; t now Represented as the first detector integration time.

[0056] (2) If the current integration time of the second detector is not equal to the current integration time of the first detector, determine whether to continue image acquisition in the current frame.

[0057] In an optional implementation manner of the present application, in step (2), determining whether to continue image acquisition in the current frame specifically includes:

[0058] According to the timing constraint judgment condition that a new image acquisition operation can be inserted into the current frame, it is judged whether the current frame continues to acquire the image; the expression of the timing constraint judgment condition is:

[0059] TT pass >t i +t next +(t r -t save );

[0060] Where, T represents the interval time between two adjacent image acquisition identification signals; T pass is the time that has passed in the current frame, which can be calculated based on the number of image acquisition operations in the current frame and the timing constraints of the remote sensing detector; t i Indicates the time required for the detector to initialize before integration; t r Indicates the detector readout time; t next represents the second detector integration time; t save It means that only the first p rows of elements of the first image signal matrix are collected, and the time saved corresponding to the subsequent row readout operation of the detector is interrupted.

[0061] (3) If not, set the current integration time of the second detector to be the current integration time of the first detector, and return to the step of “obtaining the image acquisition identification signal of the next frame”.

[0062] (4) If yes, let the current integration time of the second detector be the current integration time of the first detector, and return to the step of "re-collecting the first p rows of elements of the first image signal matrix according to the current integration time of the first detector to obtain a second image signal matrix".

[0063] (5) If the current integration time of the second detector is equal to the current integration time of the first detector, the adjustment process of the detector integration time is completed.

[0064] The following is the interval time T, the time required for the detector to initialize the operation before integration t i , the detector readout time is t r , detector integration time, the maximum detector integration time is t max and the minimum integration time is t min Specific values ​​are given to parameters such as the following to illustrate the specific process of the remote sensing detector integration time fast self-adaptation method under a fixed frame rate of the present application. The details are as follows:

[0065] Step 1: Given an image acquisition identification signal with an interval of T = 600ms, and a remote sensing detector timing constraint, the remote sensing detector timing constraint includes the time required for the detector initialization operation before integration, t i =1ms, the detector readout time is t r =100ms, detector current integration time t now =400ms (initial detector integration time), the maximum detector integration time is t max =400ms, minimum integration time is t min =4ms, t min ≤t now ≤t max .

[0066] Step 2: The normal image of the remote sensing detector is 400 rows and 1200 columns. The image matrix A with 400 rows and 1200 columns is normally collected. 400×1200 And save, store the first 10 rows of data and count the value distribution of each element in it, count the value distribution information of each element of the matrix: the number of saturated elements Q max =11400, number of undersaturated elements Q min =120, since a 14-bit ADC is used as the analog-to-digital conversion acquisition unit of the remote sensing detector, its digital value range is 0 to 16383, where the saturation element refers to the digital value reaching the set maximum threshold DN max = 15000, undersaturated elements refer to those whose digital value does not reach the set minimum threshold DN min =1000.

[0067] Step 3: Set the new integration time t according to the threshold judgment function next (corresponding to the first detector integration time), the expression of the threshold judgment function is:

[0068]

[0069] Since the number of saturated elements Q max =11400, number of undersaturated elements Q min =120, the current integration time (initial detector integration time) is t now =400ms, then according to the above formula, the new integration time (first detector integration time) is 32ms, t min ≤t next ≤t max .

[0070] Step 4: Wait for the image acquisition mark.

[0071] Step 5: Collect the image matrix B of the first 10 rows of data 10×1200 , interrupting the subsequent row read operation, saving time t save for:

[0072]

[0073] Step 6: Statistical image matrix B 10×1200 The numerical distribution of each element in the saturated element number Q is obtained max =10900, number of undersaturated elements Q min =270, the current integration time (first detector integration time) is t now =32ms, then according to the above threshold judgment function, it is necessary to adjust the integration time again, and the new integration time (the second detector integration time) is calculated to be 6.4ms, t min ≤tnext ≤t max .

[0074] Step 7: Since the calculated integration time needs to be adjusted, determine whether a new image acquisition can be performed in the current frame based on the timing constraints.

[0075] The time taken for the image acquisition operation after the first integration time adjustment is:

[0076] T pass =t i +t now +t r -t save =35.5ms

[0077] According to the timing constraint judgment conditions, we can know that:

[0078] 600ms-35.5ms>1ms+6.4ms+(100ms-97.5ms)

[0079] Then the current frame can be used for new image acquisition and step five can be repeated.

[0080] Execute step 5 for the second time and collect the image matrix B of the first 10 rows of data 10×1200 , interrupting the subsequent row read operation, saving time t save for:

[0081]

[0082] Execute step 6 for the second time, count the image matrix B 10×1200 The numerical distribution of each element in the saturated element number Q is obtained max =4900, number of undersaturated elements Q min =510, the current integration time is t now =6.4ms, then according to the threshold judgment function, it can be seen that there is no need to adjust the integration time again.

[0083] The timing diagram of the fast adaptive detector integration time is as follows: Figure 3 As shown. It can be seen that the algorithm flow of this application has adjusted the detector integration time twice, and these two adjustments occupy one image frame, that is, the detector integration time is quickly adapted under the constraint of a fixed frame rate of 600ms under the image acquisition signal with an interval of 600ms. If a general detector integration time adaptive algorithm is used, it is necessary to collect all images and then perform calculations, and it takes 2 frames to complete the adjustment. However, this application only takes 1 frame, which effectively improves the adaptive speed of the remote sensing detector integration time, thereby quickly acquiring available remote sensing image data, and can be widely used in the field of remote sensing detection where the observation target changes rapidly.

[0084] The present application also provides an application scenario, which applies the above-mentioned remote sensing detector integration time rapid self-adaptation method under a fixed frame rate. Specifically: The remote sensing detector integration time rapid self-adaptation method under a fixed frame rate provided in this embodiment can be applied in a remote sensing detection scenario. The scenario includes an integration time rapid self-adaptation link, which is used to quickly adjust the integration time under the constraints of a fixed frame rate and in saturation and under-saturation conditions, and a remote sensing image detection link, which is used to detect image information using a remote sensing detector according to the adjusted integration time.

[0085] Based on the same inventive concept, the embodiment of the present application also provides a device for implementing the above-mentioned method for rapid self-adaptation of remote sensing detector integration time at a fixed frame rate. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more embodiments of the device for rapid self-adaptation of remote sensing detector integration time at a fixed frame rate provided below can refer to the limitations of the method for rapid self-adaptation of remote sensing detector integration time at a fixed frame rate above, and will not be repeated here.

[0086] In an exemplary embodiment, Figure 4 As shown, a remote sensing detector integration time fast self-adaptive device under a fixed frame rate is provided, comprising:

[0087] The signal and timing constraint acquisition module M1 is used to obtain the image acquisition identification signal and the remote sensing detector timing data; the remote sensing detector timing data includes the time required for the detector initialization operation before integration, the detector readout time, the initial detector integration time, the maximum detector integration time and the minimum detector integration time; the initial detector integration time is the integration time under saturation or the integration time under under saturation.

[0088] The first image acquisition module M2 is used to acquire a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all image information detected by the detector.

[0089] The first detector integration adjustment module M3 is used to set the first detector integration time according to the numerical distribution information of the first p row elements of the first image signal matrix; the minimum detector integration time ≤ the first detector integration time ≤ the maximum detector integration time.

[0090] The signal acquisition module M4 is used to acquire the image acquisition identification signal of the next frame.

[0091] The second image acquisition module M5 is used to re-acquire the first p row elements of the first image signal matrix according to the current integration time of the first detector to obtain a second image signal matrix.

[0092] The second detector integration adjustment module M6 is used to adjust the detector integration time multiple times in the current frame according to the numerical distribution information of each element in the second image signal matrix, while satisfying the timing constraints; determine whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, execute the step "obtaining the image acquisition identification signal of the next frame" in the signal acquisition module; if not, the adjustment process of the detector integration time ends. The timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

[0093] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store remote sensing detector integration time fast self-adaptation data at a fixed frame rate. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a remote sensing detector integration time fast self-adaptation method at a fixed frame rate is implemented.

[0094] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0095] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0096] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0097] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0098] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0099] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A fast adaptive method for integration time of remote sensing detectors at a fixed frame rate, characterized in that: The remote sensing detector integration time fast self-adaptation method under a fixed frame rate includes: Acquire an image acquisition identification signal and remote sensing detector timing data; the remote sensing detector timing data includes the time required for the detector initialization operation before integration, the detector readout time, the initial detector integration time, the maximum detector integration time and the minimum detector integration time; the initial detector integration time is the integration time under saturation or the integration time under under saturation; Collect a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all image information detected by the detector; According to the numerical distribution information of the first p rows of the first image signal matrix, the first detector integration time is set; the minimum detector integration time ≤ the first detector integration time ≤ the maximum detector integration time; Obtaining an image acquisition identification signal for the next frame; Re-collecting the first p row elements of the first image signal matrix according to the current integration time of the first detector to obtain a second image signal matrix; In the current frame, according to the numerical distribution information of each element in the second image signal matrix, the detector integration time is adjusted multiple times while satisfying the timing constraints; it is determined whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, the step of "obtaining the image acquisition identification signal of the next frame" is returned; if not, the adjustment process of the detector integration time is terminated; the timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

2. The method for rapid adaptive integration time of remote sensing detectors at a fixed frame rate according to claim 1, characterized in that: In the current frame, according to the numerical distribution information of each element in the second image signal matrix, the detector integration time is adjusted multiple times while satisfying the timing constraint; and it is determined whether the detector integration time finally adjusted in the current frame continues to be adjusted; If yes, then return to step "obtaining the image acquisition identification signal of the next frame"; if no, then the adjustment process of the detector integration time ends, specifically including: According to the numerical distribution information of each element in the second image signal matrix, the second detector integration time is set; the minimum integration time of the detector ≤ the second detector integration time ≤ the maximum integration time of the detector; If the current integration time of the second detector is not equal to the current integration time of the first detector, judging whether to continue image acquisition in the current frame according to the timing constraint of inserting a new image acquisition operation in the current frame; If not, then the current integration time of the second detector is set to the current integration time of the first detector, and the process returns to the step of "obtaining the image acquisition identification signal of the next frame"; If yes, let the current second detector integration time be the current first detector integration time, and return to the step of "re-collecting the first p row elements of the first image signal matrix according to the current first detector integration time to obtain a second image signal matrix"; If the current integration time of the second detector is equal to the current integration time of the first detector, the adjustment process of the detector integration time ends.

3. The method for rapid adaptive integration time of remote sensing detectors at a fixed frame rate according to claim 2, characterized in that: According to the numerical distribution information of each element in the second image signal matrix, setting the second detector integration time specifically includes: determining the number of saturated elements and the number of undersaturated elements in the second image signal matrix according to the numerical distribution information of each element in the second image signal matrix; Substituting the number of saturated elements and the number of undersaturated elements of the second image signal matrix into the threshold judgment function, the second detector integration time is obtained; the expression of the threshold judgment function is: Where, t next represents the second detector integration time; t now Indicates the integration time of the first detector; Q max Indicates the number of saturated elements; Q min represents the number of undersaturated elements; p and n represent the p rows and n columns of the first image signal matrix; a1, a2, a3, a4, b1, b2, b3, and b4 are empirically set values.

4. The method for rapid adaptive integration time of remote sensing detectors at a fixed frame rate according to claim 3, characterized in that: The number of saturated elements refers to the number of elements whose digital values ​​reach a set maximum digital value threshold; the number of undersaturated elements refers to the number of elements whose digital values ​​are less than a set minimum digital value threshold.

5. The method for rapid adaptive integration time of remote sensing detectors at a fixed frame rate according to claim 2, characterized in that: The expression of the timing constraint for inserting a new image acquisition operation into the current frame is: T-T pass >t i +t next +(t r -t save ); In the formula, T represents the interval time between two adjacent image acquisition identification signals; T pass The time elapsed for the current frame; t i Indicates the time required for the detector to initialize before integration; t r Indicates the detector readout time; t next represents the second detector integration time; t save It means that only the first p rows of elements of the first image signal matrix are collected, and the time saved corresponding to the subsequent row readout operation of the detector is interrupted.

6. The method for rapid adaptive integration time of remote sensing detectors at a fixed frame rate according to claim 5, characterized in that: Save time save The calculation expression is: Wherein, m represents the total number of rows of the first image signal matrix.

7. A fast adaptive device for integration time of remote sensing detector under fixed frame rate, characterized in that: The remote sensing detector integration time fast self-adaptation device under fixed frame rate comprises: A signal and timing constraint acquisition module, used to acquire an image acquisition identification signal and remote sensing detector timing data; the remote sensing detector timing data includes the time required for the detector initialization operation before integration, the detector readout time, the initial detector integration time, the maximum detector integration time and the minimum detector integration time; the initial detector integration time is the integration time under saturation or the integration time under under saturation; A first image acquisition module is used to acquire a first image signal matrix according to the image acquisition identification signal and the remote sensing detector time series data; the first image signal matrix contains all image information detected by the detector; A first detector integration adjustment module, used to set the first detector integration time according to the numerical distribution information of the first p row elements of the first image signal matrix; the minimum detector integration time ≤ the first detector integration time ≤ the maximum detector integration time; A signal acquisition module, used to acquire an image acquisition identification signal of the next frame; A second image acquisition module, used for re-acquiring the first p row elements of the first image signal matrix according to the current integration time of the first detector, to obtain a second image signal matrix; The second detector integration adjustment module is used to adjust the detector integration time multiple times in the current frame according to the numerical distribution information of each element in the second image signal matrix while satisfying the timing constraints; determine whether the detector integration time finally adjusted in the current frame continues to be adjusted; if so, execute the step of "obtaining the image acquisition identification signal of the next frame" in the signal acquisition module; if not, the adjustment process of the detector integration time ends; the timing constraints include the upper and lower limit constraints of the detector integration time and the timing constraints of inserting a new image acquisition operation in the current frame.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the remote sensing detector integration time fast adaptation method at a fixed frame rate as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the remote sensing detector integration time fast self-adaptation method at a fixed frame rate described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the remote sensing detector integration time fast self-adaptation method at a fixed frame rate described in any one of claims 1 to 6 is implemented.

Images