Aircraft target detection method based on multi-feature fusion of polsar image
A multi-feature fusion, aircraft target technology, applied in the field of aircraft target detection based on PolSAR image multi-feature fusion, can solve the problems of reduced computing efficiency, inability to reflect aircraft shape features, and statistical features are no longer applicable, and achieve the effect of reducing computing efficiency.
Active Publication Date: 2021-11-23
CIVIL AVIATION UNIV OF CHINA
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For aircraft target detection, some existing methods need to traverse all the pixels in the image; some require certain training samples for subdivision; others need to extract the airport runway area in advance, and then traverse all the airport areas In addition, the main problem of aircraft target detection in low-to-medium resolution and complex large-scene SAR images is that the shape characteristics of the aircraft cannot be reflected, and can only be expressed as some pixel features. Common statistical signatures are no longer applicable, making it more difficult to detect aircraft targets
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[0029] The aircraft target detection method for multi-feature fusion of PolSAR images provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0030] Such as figure 1 As shown, the aircraft target detection method of the PolSAR image multi-feature fusion provided by the present invention carries out the following steps in order:
[0031] (1) Preprocessing the PolSAR image to obtain the coherence matrix after filtering and de-orientation;
[0032] Specific steps are as follows:
[0033] Different from general images, each pixel of PolSAR image is a 3×3 coherence matrix T as shown in formula (1) * , and the coherence matrix T * The diagonal elements are all real numbers, and the off-diagonal elements are all complex numbers.
[0034]
[0035] a) First, filter the PolSAR image using the refined Lee filter homogeneous pixel selection method: according to figure 2 The edge alignment window...
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An aircraft target detection method based on multi-feature fusion of PolSAR images. It includes preprocessing the PolSAR image to obtain the coherence matrix after filtering and deorientation; calculating the scattering power value of each pixel point, using the scattering power value to segment the PolSAR image, and segmenting the region of interest that is a binary image ; Perform regional screening on the region of interest to obtain the binary image of the suspected aircraft target; perform morphological expansion processing on the binary image to obtain the binary image of the background area around the suspected aircraft target; obtain the correspondence between the suspected aircraft target and the background area The deoriented coherence matrix is used to calculate the characteristics of the suspected aircraft target to be tested; the characteristics to be tested are further screened to obtain the final detection results and other steps. The present invention first performs rough extraction on the PolSAR image, which can reduce the calculation efficiency. Treating the aircraft target as a region can make full use of the overall polarization characteristics of the aircraft target.
Description
technical field [0001] The invention belongs to the technical field of PolSAR image interpretation, in particular to an aircraft target detection method for PolSAR image multi-feature fusion. [0002] technical background [0003] As an important remote sensing device, Polarimetric Synthetic Aperture Radar (PolSAR) has been widely used in military and civilian fields for its all-time, all-weather, high-resolution and strong penetration characteristics. Compared with the rapid development of PolSAR system research and development, the research on PolSAR image interpretation is still relatively lagging behind. Under the trend of massive growth of various remote sensing data, remote sensing image interpretation is particularly important. As an important part of image interpretation, aircraft target detection has important military and national defense significance. For aircraft target detection, some existing methods need to traverse all the pixels in the image; some require ce...
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IPC IPC(8): G06T7/246G06T7/11G06T7/277
CPCG06T2207/20024G06T2207/20036G06T7/11G06T7/246G06T7/277
Inventor 韩萍宋厅华韩宾宾周波
Owner CIVIL AVIATION UNIV OF CHINA