A method and device for constructing a detection model of an aviation coded aperture spectral imager

Abstract

The present invention relates to a method and device for constructing a detection model of an aviation coded aperture spectral imager. The method and device first obtain multiple aviation parameters in the detection of the aviation coded aperture spectral imager, and then analyze and confirm the effects of the multiple aviation parameters on the detection signal-to-noise ratio, the indirect effects between the aviation parameters and the weak correlation under specific conditions, and construct a multi-parameter multi-coupling detection model. The multi-parameter multi-coupling detection model can be widely accepted and can achieve a complete representation of the functional relationship.

Description

Technical Field

[0001] The present invention relates to the field of aerial remote sensing, and in particular to a method and a device for constructing a detection model of an aerial coded aperture spectral imager. Background Art

[0002] Domestic and foreign literature related to the application of spectrometers in aerial remote sensing has extensively studied the impact of natural factors such as target spectral characteristics, atmospheric path radiation, ground background radiation and sky reflection on the detection model. In these studies, the spectrometer system itself is used as a fixed input. The multiple physical quantities such as detection scene, detection platform and detection payload are in a split development mode, and their internal action mechanism has not received enough attention. Therefore, a widely accepted composite detection model has not yet been formed. In the actual aerial remote sensing coded aperture spectrometer remote sensing detection, there are complex multiple coupling relationships between the application scene, aerial platform and the parameters of the coded aperture spectrometer. The impact of a parameter change on the detection signal-to-noise ratio will be a three-dimensional action mode, and the parameters form an iterative coupling deep correlation. Summary of the invention

[0003] The embodiments of the present invention provide a method and device for constructing a detection model of an aviation coded aperture spectral imager, so as to at least solve the technical problem that there is no composite detection model in the prior art.

[0004] According to one embodiment of the present invention, a method for constructing a detection model of an aviation coded aperture spectral imager is provided, comprising the following steps:

[0005] Obtain various aviation parameters detected by aviation coded aperture spectral imager;

[0006] By analyzing and confirming the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between various aviation parameters and the weak correlation under specific conditions, a multi-parameter and multi-coupled detection model is constructed to achieve a complete characterization of the functional relationship.

[0007] Furthermore, the effects of various aviation parameters on the detection signal-to-noise ratio include direct correlation, indirect correlation and weak correlation under specific conditions.

[0008] Furthermore, among the aviation parameters, the instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change and platform speed have a direct correlation with the detection signal-to-noise ratio.

[0009] Furthermore, among the aviation parameters, there is an indirect correlation between the instantaneous field of view angle and system / detector noise, and data refresh rate; there is an indirect correlation between the number of sampling times and spectral resolution, data refresh rate, and imaging frame rate; there is an indirect correlation between information redundancy and spectral range and platform vibration; there is an indirect correlation between spectral resolution and data refresh rate and imaging frame rate; there is an indirect correlation between data refresh rate and imaging frame rate; there is an indirect correlation between imaging frame rate and platform speed.

[0010] Furthermore, among the aviation parameters, the indirect correlation effect of instantaneous field of view angle on system / detector noise is unidirectional; the indirect effect of spectral resolution on data refresh rate is unidirectional; the indirect correlation effect of data refresh rate on instantaneous field of view angle is unidirectional; the indirect correlation effect of imaging frame rate on spectral resolution is unidirectional; the indirect correlation effect of platform vibration on information redundancy is unidirectional.

[0011] Furthermore, among aviation parameters, the indirect correlation effect of sampling times on spectral resolution and imaging frame rate is bidirectional; the indirect correlation effect of information redundancy on spectral range is bidirectional; the indirect correlation effect of data refresh rate on imaging frame rate is bidirectional, and the indirect correlation effect of imaging frame rate on platform speed is bidirectional.

[0012] Furthermore, among aviation parameters, there is a weak correlation between information redundancy and attitude change, and data refresh rate, and there is a weak correlation between system / detector noise and platform speed.

[0013] According to another embodiment of the present invention, there is provided a device for constructing a detection model of an aviation coded aperture spectral imager, comprising:

[0014] A parameter acquisition unit, used to acquire various aviation parameters detected by the aviation coded aperture spectral imager;

[0015] The model building unit is used to confirm the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between various aviation parameters and the weak correlation under specific conditions through analysis, and to build a multi-parameter and multi-coupled detection model that can fully characterize the functional relationship.

[0016] A processor is used to run a program, wherein when the program is run, any one of the above-mentioned methods for building a detection model for an aviation coded aperture spectral imager is executed.

[0017] A processor is used to run a program, wherein when the program is run, any one of the above-mentioned methods for building a detection model for an aviation coded aperture spectral imager is executed.

[0018] The method and device for constructing an aviation coded aperture spectroscopic imager detection model in the embodiment of the present invention first obtains a variety of aviation parameters in the detection of the aviation coded aperture spectroscopic imager, and then confirms the effects of the various aviation parameters on the detection signal-to-noise ratio, the indirect effects between the aviation parameters and the weak correlation under specific conditions through analysis, and constructs a multi-parameter multi-coupling detection model. The multi-parameter multi-coupling detection model can be widely accepted and can achieve a complete characterization of the functional relationship. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 A flowchart of a method for constructing a detection model of an aviation coded aperture spectral imager according to the present invention;

[0021] Figure 2 It is a multi-parameter multi-coupling detection model diagram in the detection model construction method of the aviation coded aperture spectroscopic imager of the present invention;

[0022] Figure 3 This is a module diagram of a device for constructing a detection model for an aviation coded aperture spectral imager according to the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Example 1

[0026] According to an embodiment of the present invention, a method for constructing a detection model of an aviation coded aperture spectral imager is provided. Figure 1 , including the following steps:

[0027] S100: Acquire various aviation parameters detected by aviation coded aperture spectral imager;

[0028] S200: Through analysis and confirmation of the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between various aviation parameters and the weak correlation under specific conditions, a multi-parameter and multi-coupled detection model is constructed to achieve a complete characterization of the functional relationship.

[0029] The method for constructing an aviation coded aperture spectroscopic imager detection model in an embodiment of the present invention first obtains a variety of aviation parameters in the detection of the aviation coded aperture spectroscopic imager, and then confirms the effects of the various aviation parameters on the detection signal-to-noise ratio, the indirect effects between the aviation parameters and the weak correlation under specific conditions through analysis, and constructs a multi-parameter multi-coupling detection model. The multi-parameter multi-coupling detection model can be widely accepted and can achieve a complete characterization of the functional relationship.

[0030] Among them, the effects of various aviation parameters on the detection signal-to-noise ratio include direct correlation, indirect correlation and weak correlation under specific conditions.

[0031] Among them, among the aviation parameters, the instantaneous field of view, sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change and platform speed have a direct correlation with the detection signal-to-noise ratio.

[0032] Among them, among the aviation parameters, there is an indirect correlation between the instantaneous field of view angle and system / detector noise, and data refresh rate; there is an indirect correlation between the number of sampling times and spectral resolution, data refresh rate, and imaging frame rate; there is an indirect correlation between information redundancy and spectral range and platform vibration; there is an indirect correlation between spectral resolution and data refresh rate and imaging frame rate; there is an indirect correlation between data refresh rate and imaging frame rate; there is an indirect correlation between imaging frame rate and platform speed.

[0033] Among them, among the aviation parameters, the indirect correlation effect of the instantaneous field of view angle on the system / detector noise is unidirectional; the indirect effect of the spectral resolution on the data refresh rate is unidirectional; the indirect correlation effect of the data refresh rate on the instantaneous field of view angle is unidirectional; the indirect correlation effect of the imaging frame rate on the spectral resolution is unidirectional; the indirect correlation effect of the platform vibration on the information redundancy is unidirectional.

[0034] Among them, among the aviation parameters, the indirect correlation effect of sampling times on spectral resolution and imaging frame rate is bidirectional; the indirect correlation effect of information redundancy on spectral range is bidirectional; the indirect correlation effect of data refresh rate on imaging frame rate is bidirectional, and the indirect correlation effect of imaging frame rate on platform speed is bidirectional.

[0035] Among the aviation parameters, there is a weak correlation between information redundancy and attitude change, and data refresh rate, and there is a weak correlation between system / detector noise and platform speed.

[0036] The following is a detailed description of the method for constructing a detection model of an aviation coded aperture spectral imager according to the present invention using a specific embodiment:

[0037] The present invention uses the detection signal-to-noise ratio as an evaluation criterion, establishes an iterative relationship between direct effects, indirect effects, and weak correlation effects between global parameters, and constructs a multiple coupling detection model method between global parameters in a full detection link containing multiple physical quantities. In view of this, the present invention proposes a method for constructing an aviation coded aperture spectroscopic imager detection model based on multiple coupling relationships, including multiple aviation parameters such as the detection signal-to-noise ratio, instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change, platform speed, etc. in the detection of the aviation coded aperture spectroscopic imager. By distinguishing the effects of the above physical quantities on the detection signal-to-noise ratio, the indirect effects between the physical quantities, and the weak correlation under specific conditions, a multi-parameter multi-coupling detection model that can be widely accepted is constructed.

[0038] See also Figure 2 This is a multi-parameter multi-coupling detection model diagram. Figure 2 Indicates the evaluation basis of the detection signal-to-noise ratio, the thick solid line indicates direct correlation, the thin solid line indicates indirect correlation, the dotted line indicates weak correlation, the double-directional arrow indicates double-directional correlation, and the unidirectional arrow indicates unidirectional correlation. The multi-parameter multi-coupling detection model constructed by the present invention can realize the complete characterization of the functional relationship.

[0039] There are many situations in which various aviation parameters affect the detection signal-to-noise ratio, including direct correlation, indirect correlation and weak correlation under specific conditions.

[0040] The instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change and platform speed have a direct correlation with the detection signal-to-noise ratio.

[0041] There is an indirect correlation between the instantaneous field of view and system / detector noise, and data refresh rate; there is an indirect correlation between the number of sampling times and spectral resolution, data refresh rate, and imaging frame rate; there is an indirect correlation between information redundancy and spectral range and platform vibration; there is an indirect correlation between spectral resolution and data refresh rate and imaging frame rate; there is an indirect correlation between data refresh rate and imaging frame rate; there is an indirect correlation between imaging frame rate and platform speed.

[0042] The indirect effect of instantaneous field of view on system / detector noise is unidirectional; the indirect effect of spectral resolution on data refresh rate is unidirectional; the indirect effect of data refresh rate on instantaneous field of view is unidirectional; the indirect effect of imaging frame rate on spectral resolution is unidirectional; the indirect effect of platform vibration on information redundancy is unidirectional.

[0043] The indirect correlation effect of sampling times on spectral resolution and imaging frame rate is bidirectional; the indirect correlation effect of information redundancy on spectral range is bidirectional; the indirect correlation effect of data refresh rate on imaging frame rate is bidirectional, and the indirect correlation effect of imaging frame rate on platform speed is bidirectional.

[0044] There is a weak correlation between information redundancy and attitude change, data refresh rate, and there is a weak correlation between system / detector noise and platform speed.

[0045] Example 2

[0046] According to another embodiment of the present invention, a detection model construction device for an aviation coded aperture spectral imager is provided. Figure 3 ,include:

[0047] A parameter acquisition unit 201 is used to acquire various aviation parameters detected by the aviation coded aperture spectral imager;

[0048] The model building unit 202 is used to analyze and confirm the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between the aviation parameters and the weak correlation under specific conditions, and to build a multi-parameter multi-coupling detection model that achieves a complete characterization of the functional relationship.

[0049] The aerial coded aperture spectroscopic imager detection model construction device in the embodiment of the present invention first obtains a variety of aviation parameters in the aerial coded aperture spectroscopic imager detection, and then confirms the effect of the various aviation parameters on the detection signal-to-noise ratio, the indirect effect between the aviation parameters and the weak correlation under specific conditions through analysis, and constructs a multi-parameter multi-coupling detection model. The multi-parameter multi-coupling detection model can be widely accepted and can achieve a complete characterization of the functional relationship.

[0050] The following is a detailed description of the detection model building device of the aviation coded aperture spectral imager of the present invention with specific embodiments:

[0051] The present invention uses the detection signal-to-noise ratio as an evaluation standard, establishes an iterative relationship between direct effects, indirect effects and weak correlation effects between global parameters, and constructs a multiple coupling detection model method between global parameters in a full detection link containing multiple physical quantities. In view of this, the present invention proposes a detection model construction device for an aviation coded aperture spectroscopic imager based on multiple coupling relationships, including multiple aviation parameters such as the detection signal-to-noise ratio, instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change, platform speed, etc. in the detection of an aviation coded aperture spectroscopic imager. By distinguishing the effects of the above physical quantities on the detection signal-to-noise ratio, the indirect effects between the physical quantities and the weak correlation under specific conditions, a multi-parameter multi-coupling detection model that can be widely accepted is constructed.

[0052] See also Figure 2 This is a multi-parameter multi-coupling detection model diagram. Figure 2 Indicates the evaluation basis of the detection signal-to-noise ratio, the thick solid line indicates direct correlation, the thin solid line indicates indirect correlation, the dotted line indicates weak correlation, the double-directional arrow indicates double-directional correlation, and the unidirectional arrow indicates unidirectional correlation. The multi-parameter multi-coupling detection model constructed by the present invention can realize the complete characterization of the functional relationship.

[0053] There are many situations in which various aviation parameters affect the detection signal-to-noise ratio, including direct correlation, indirect correlation and weak correlation under specific conditions.

[0054] The instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change and platform speed have a direct correlation with the detection signal-to-noise ratio.

[0055] There is an indirect correlation between the instantaneous field of view and system / detector noise, and data refresh rate; there is an indirect correlation between the number of sampling times and spectral resolution, data refresh rate, and imaging frame rate; there is an indirect correlation between information redundancy and spectral range and platform vibration; there is an indirect correlation between spectral resolution and data refresh rate and imaging frame rate; there is an indirect correlation between data refresh rate and imaging frame rate; there is an indirect correlation between imaging frame rate and platform speed.

[0056] The indirect effect of instantaneous field of view on system / detector noise is unidirectional; the indirect effect of spectral resolution on data refresh rate is unidirectional; the indirect effect of data refresh rate on instantaneous field of view is unidirectional; the indirect effect of imaging frame rate on spectral resolution is unidirectional; the indirect effect of platform vibration on information redundancy is unidirectional.

[0057] The indirect correlation effect of sampling times on spectral resolution and imaging frame rate is bidirectional; the indirect correlation effect of information redundancy on spectral range is bidirectional; the indirect correlation effect of data refresh rate on imaging frame rate is bidirectional, and the indirect correlation effect of imaging frame rate on platform speed is bidirectional.

[0058] There is a weak correlation between information redundancy and attitude change, data refresh rate, and there is a weak correlation between system / detector noise and platform speed.

[0059] Example 3

[0060] A storage medium stores a program file capable of implementing any of the above-mentioned methods for constructing a detection model for an aviation coded aperture spectral imager.

[0061] Example 4

[0062] A processor is used to run a program, wherein when the program is run, any one of the above-mentioned methods for building a detection model for an aviation coded aperture spectral imager is executed.

[0063] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0064] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0065] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0066] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0067] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0068] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0069] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for constructing a detection model for an aviation coded aperture spectral imager, characterized in that: The following steps are involved: Obtain various aviation parameters detected by aviation coded aperture spectral imager; By analyzing and confirming the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between various aviation parameters and the weak correlation under specific conditions, a multi-parameter and multi-coupled detection model is constructed to achieve a complete characterization of the functional relationship.

2. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: The effects of various aviation parameters on detection signal-to-noise ratio include direct correlation, indirect correlation and weak correlation under specific conditions.

3. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: Among aviation parameters, instantaneous field of view, number of sampling times, information redundancy, spectral resolution, system / detector noise, spectral range, data refresh rate, imaging frame rate, platform vibration, attitude change and platform speed have a direct correlation with the detection signal-to-noise ratio.

4. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: Among aviation parameters, there is an indirect correlation between instantaneous field of view and system / detector noise and data refresh rate; there is an indirect correlation between sampling times and spectral resolution, data refresh rate and imaging frame rate; there is an indirect correlation between information redundancy and spectral range and platform vibration; there is an indirect correlation between spectral resolution and data refresh rate and imaging frame rate; There is an indirect correlation between the data refresh rate and the imaging frame rate; there is an indirect correlation between the imaging frame rate and the platform speed.

5. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: Among the aviation parameters, the indirect correlation effect of instantaneous field of view angle on system / detector noise is unidirectional; the indirect effect of spectral resolution on data refresh rate is unidirectional; the indirect correlation effect of data refresh rate on instantaneous field of view angle is unidirectional; the indirect correlation effect of imaging frame rate on spectral resolution is unidirectional; the indirect correlation effect of platform vibration on information redundancy is unidirectional.

6. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: Among aviation parameters, the indirect correlation effect of sampling times on spectral resolution and imaging frame rate is bidirectional; the indirect correlation effect of information redundancy on spectral range is bidirectional; the indirect correlation effect of data refresh rate on imaging frame rate is bidirectional, and the indirect correlation effect of imaging frame rate on platform speed is bidirectional.

7. The method for constructing a detection model of an aviation coded aperture spectral imager according to claim 1, characterized in that: Among aviation parameters, there is a weak correlation between information redundancy and attitude change, and data refresh rate; and there is a weak correlation between system / detector noise and platform speed.

8. A detection model construction device for an aviation coded aperture spectral imager, characterized in that: include: A parameter acquisition unit, used to acquire various aviation parameters detected by the aviation coded aperture spectral imager; The model building unit is used to confirm the effects of various aviation parameters on the detection signal-to-noise ratio, the indirect effects between various aviation parameters and the weak correlation under specific conditions through analysis, and to build a multi-parameter and multi-coupled detection model that can fully characterize the functional relationship.

9. A storage medium, characterized in that: The storage medium stores a program file capable of implementing the method for constructing an aviation coded aperture spectroscopic imager detection model as described in any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the method for building an aviation coded aperture spectral imager detection model as described in any one of claims 1 to 7.

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