CN117607826A - Method and system for inverting target RCS through target SAR image - Google Patents
Method and system for inverting target RCS through target SAR image Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/9021—SAR image post-processing techniques
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Abstract
The invention discloses a method and a system for inverting a target RCS through a target SAR image, wherein the method comprises the following steps: obtaining SAR images and SAR complex data according to a preset SAR file; dividing a target in the SAR image to obtain a pixel space of the target in the SAR image; obtaining target scattering data according to SAR complex data and a pixel space of a target in an SAR image; and obtaining target point frequency RCS data according to the target scattering data. The invention improves the measurement efficiency.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a method and a system for inverting a target RCS through a target SAR image.
Background
The radar is usually adopted to emit point frequency continuous wave to measure the target RCS, and the target RCS is measured from a certain incident angle, so that only one point frequency or one angle of data can be measured at a time, and the problem is that the measurement efficiency of the target point frequency RCS is low.
Disclosure of Invention
The invention solves the technical problems that: the method and the system for inverting the target RCS through the target SAR image are provided, so that the measurement efficiency is improved.
The invention aims at realizing the following technical scheme: a method of inverting a target RCS by a target SAR image, comprising: obtaining SAR images and SAR complex data according to a preset SAR file; dividing a target in the SAR image to obtain a pixel space of the target in the SAR image; obtaining target scattering data according to SAR complex data and a pixel space of a target in an SAR image; and obtaining target point frequency RCS data according to the target scattering data.
In the method for inverting the target RCS through the target SAR image, a pre-trained scene segmentation network model based on deep learning is adopted to segment the target in the SAR image so as to obtain the pixel space of the target in the SAR image.
In the method for inverting the target RCS through the target SAR image, the target scattering data is obtained by adopting a two-dimensional Fourier transform algorithm according to the SAR complex data and the pixel space of the target in the SAR image.
In the method for inverting the target RCS through the target SAR image, the target scattering dataIs obtained by the following formula:
wherein,for scattering data for the object->For SAR complex data, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the y-axis frequency of the spatial beam frequency domainRate, d 2 For the target pixel space, x is the target x-axis coordinate, y is the target y-axis coordinate, v is the speed, v=xsin θ+ycos θ, θ is the scan angle, f is the frequency, and c is the speed of light.
In the method for inverting the target RCS through the target SAR image, the target point frequency RCS data sigma (x, y) is obtained by the following formula:
wherein sigma (x, y) is the target point frequency RCS data,for scattering data for the object, W f (f x ,f y ) Is the space frequency domain plane K f A function of 1 inside and 0 outside the region, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, K f For the spatial beam frequency domain, A f Is the integral of the window function, the window function is W f (f x ,f y )。
A system for inverting a target RCS by a target SAR image, comprising: the SAR data analysis module is used for obtaining SAR images and SAR complex data according to a preset SAR file; the SAR image target segmentation module is used for segmenting a target in the SAR image to obtain a pixel space of the target in the SAR image; the point frequency RCS calculation module is used for obtaining target scattering data according to the SAR complex data and the pixel space of the target in the SAR image and obtaining target point frequency RCS data according to the target scattering data.
In the system for inverting the target RCS through the target SAR image, a pre-trained scene segmentation network model based on deep learning is adopted to segment the target in the SAR image so as to obtain the pixel space of the target in the SAR image.
In the system for inverting the target RCS through the target SAR image, the target scattering data is obtained by adopting a two-dimensional Fourier transform algorithm according to the SAR complex data and the pixel space of the target in the SAR image.
In the system for inverting the target RCS through the target SAR image, the target scattering dataIs obtained by the following formula:
wherein,for scattering data for the object->For SAR complex data, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, d 2 For the target pixel space, x is the target x-axis coordinate, y is the target y-axis coordinate, v is the speed, v=xsin θ+ycos θ, θ is the scan angle, f is the frequency, and c is the speed of light.
In the system for inverting the target RCS through the target SAR image, the target point frequency RCS data sigma (x, y) is obtained by the following formula:
wherein sigma (x, y) is the target point frequency RCS data,for scattering data for the object, W f (f x ,f y ) For spatial frequencyRate domain plane K f A function of 1 inside and 0 outside the region, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, K f For the spatial beam frequency domain, A f Is the integral of the window function.
Compared with the prior art, the invention has the following beneficial effects:
(1) According to the method, the target and the background are accurately separated from the SAR image, so that the calculation accuracy of the target point frequency RCS is improved;
(2) The invention solves the problem of large workload when measuring the RCS of the target point frequency, and can obtain the RCS of a plurality of target point frequencies and angles from one SAR image.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a flowchart of a method for inverting a target RCS through a target SAR image provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
The RCS of the target is related to the shape, incidence angle and frequency of incidence wave, and a lot of measurement work is needed to obtain the RCS of the target with multiple angles and multiple frequency points.
Fig. 1 is a flowchart of a method for inverting a target RCS through a target SAR image provided by an embodiment of the present invention. As shown in fig. 1, the method for inverting the target RCS by the target SAR image includes:
obtaining SAR images and SAR complex data according to a preset SAR file;
dividing a target in the SAR image by adopting a pre-trained scene division network model based on deep learning to obtain a pixel space of the target in the SAR image;
obtaining target scattering data by adopting a two-dimensional Fourier transform algorithm according to SAR complex data and a pixel space of a target in an SAR image
From scattering data of the targetTarget point frequency RCS data σ (x, y) is obtained.
According to the embodiment, the measurement efficiency of the point frequency RCS is improved, and RCS data of a group of point frequencies and angles can be obtained through one-time measurement. According to the embodiment, SAR imaging is carried out on the target by adopting the high-bandwidth high-resolution imaging radar, SAR imaging data in a certain angle range are obtained, and the point frequency RCS values of a plurality of point frequencies and a plurality of angles are inverted through data processing, so that the measurement efficiency is improved.
Target scatter dataIs obtained by the following formula:
wherein,for scattering data for the object->For SAR complex data, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, d 2 For the target pixel space, x is the target x-axis coordinate, y is the target y-axis coordinate, v is the speed, v=xsin θ+ycos θ, θ is the scan angle, f is the frequency, and c is the speed of light.
The target point frequency RCS data σ (x, y) is obtained by the following formula:
wherein sigma (x, y) is the target point frequency RCS data,for scattering data for the object, W f (f x ,f y ) Is the space frequency domain plane K f A function of 1 inside and 0 outside the region, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, K f For the spatial beam frequency domain, A f For the window function (space frequency domain plane K f Function W of 1 inside and 0 outside the region f (f x ,f y ) Is used) and the integration is performed.
The principle of SAR imaging is that when SAR imaging is carried out on a target, the method can be equivalent to carrying out sweep frequency and sweep angle on a fixed target, wherein the sweep frequency can obtain accumulation in the upward distance, the sweep angle can obtain accumulation in the upward azimuth, echo in the range of delta f and delta theta is obtained when SAR imaging, and two-dimensional FFT inverse transformation is carried out on echo data until SAR image data is obtained.
The acquisition of the point frequency RCS through SAR image data is the inverse process of the SAR imaging principle, the SAR image data comprises the echo data of a target and the echo data of a background, and in order to reduce the influence of the background, a pre-trained depth-based method is adoptedScene segmentation network of learning algorithm is used for segmenting target pixels in SAR image to obtain pixel space d of target 2 。
For SAR complex data, two-dimensional FFT conversion is carried out by applying the following formula to obtain scattered data
Where v=xsin theta + ycos theta,for SAR complex data
The calculation formula of the point frequency RCS data sigma (x, y) is as follows:
wherein the method comprises the steps ofW f (f x ,f y ) Representing a spatial frequency domain plane K f The inner part of the region is 1 and the outer part is a function of 0.
The embodiment also provides a system for inverting a target RCS through a target SAR image, which comprises: the SAR data analysis module is used for obtaining SAR images and SAR complex data according to a preset SAR file; the SAR image target segmentation module is used for segmenting a target in the SAR image to obtain a pixel space of the target in the SAR image; the point frequency RCS calculation module is used for obtaining target scattering data according to the SAR complex data and the pixel space of the target in the SAR image and obtaining target point frequency RCS data according to the target scattering data.
Specifically, the SAR data analysis module assists in reading the SAR file, and analyzes SAR image data and SAR complex data; the SAR image scene segmentation module detects and segments target pixels in the SAR image and outputs pixel positions of the targets; and the point frequency RCS calculation module applies SAR complex data and target pixel positions, and calculates RCS of a plurality of point frequencies and angles of the target by adopting a two-dimensional Fourier transform algorithm.
In the embodiment, the depth scene segmentation network is adopted to segment the pixels of the target in the SAR image, the target is accurately segmented at the pixel level, and the target and the background are accurately separated in the SAR image, so that the calculation precision of the target point frequency RCS is improved; the embodiment solves the problem of large workload when measuring the RCS of the target point frequency, and can obtain RCS of a plurality of target point frequencies and angles from one SAR image.
Although the present invention has been described in terms of the preferred embodiments, it is not intended to be limited to the embodiments, and any person skilled in the art can make any possible variations and modifications to the technical solution of the present invention by using the methods and technical matters disclosed above without departing from the spirit and scope of the present invention, so any simple modifications, equivalent variations and modifications to the embodiments described above according to the technical matters of the present invention are within the scope of the technical matters of the present invention.
Claims (10)
1. A method of inverting a target RCS by a target SAR image, comprising:
obtaining SAR images and SAR complex data according to a preset SAR file;
dividing a target in the SAR image to obtain a pixel space of the target in the SAR image;
obtaining target scattering data according to SAR complex data and a pixel space of a target in an SAR image;
and obtaining target point frequency RCS data according to the target scattering data.
2. The method of inverting a target RCS by a target SAR image according to claim 1, wherein: and segmenting the target in the SAR image by adopting a pre-trained scene segmentation network model based on deep learning to obtain the pixel space of the target in the SAR image.
3. The method of inverting a target RCS by a target SAR image according to claim 1, wherein: and obtaining target scattering data by adopting a two-dimensional Fourier transform algorithm according to the SAR complex data and the pixel space of the target in the SAR image.
4. The method of inverting a target RCS by a target SAR image according to claim 1, wherein: target scatter dataIs obtained by the following formula:
wherein,for scattering data for the object->For SAR complex data, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, d 2 For the target pixel space, x is the target x-axis coordinate, y is the target y-axis coordinate, v is the speed, f is the frequency, c is the speed of light, and j is the complex number.
5. The method of inverting a target RCS by a target SAR image according to claim 1, wherein: the target point frequency RCS data σ (x, y) is obtained by the following formula:
wherein sigma (x, y) is the target point frequency RCS data,for scattering data for the object, W f (f x ,f y ) Is the space frequency domain plane K f A function of 1 inside the region and 0 outside the region, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, K f For the spatial beam frequency domain, A f Is the integral of the function.
6. A system for inverting a target RCS from a target SAR image, comprising:
the SAR data analysis module is used for obtaining SAR images and SAR complex data according to a preset SAR file;
the SAR image target segmentation module is used for segmenting a target in the SAR image to obtain a pixel space of the target in the SAR image;
the point frequency RCS calculation module is used for obtaining target scattering data according to the SAR complex data and the pixel space of the target in the SAR image and obtaining target point frequency RCS data according to the target scattering data.
7. The system for inverting a target RCS from a target SAR image according to claim 6, wherein: and segmenting the target in the SAR image by adopting a pre-trained scene segmentation network model based on deep learning to obtain the pixel space of the target in the SAR image.
8. The system for inverting a target RCS from a target SAR image according to claim 6, wherein: and obtaining target scattering data by adopting a two-dimensional Fourier transform algorithm according to the SAR complex data and the pixel space of the target in the SAR image.
9. The system for inverting a target RCS from a target SAR image according to claim 6, wherein: target scatter dataIs obtained by the following formula:
wherein,for scattering data for the object->For SAR complex data, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, d 2 For the target pixel space, x is the target x-axis coordinate, y is the target y-axis coordinate, v is the speed, f is the frequency, c is the speed of light, and j is the complex number.
10. The system for inverting a target RCS from a target SAR image according to claim 6, wherein: the target point frequency RCS data σ (x, y) is obtained by the following formula:
wherein sigma (x, y) is the target point frequency RCS data,for scattering data for the object, W f (f x ,f y ) Is the space frequency domain plane K f A function of 1 inside the region and 0 outside the region, f x For the x-axis frequency, f, of the spatial beam frequency domain y For the spatial beam frequency domain y-axis frequency, K f For the spatial beam frequency domain, A f Is the integral of the function.
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