ISAR (inverse synthetic aperture radar) target component detection method based on local feature matching
A technology of target components and local features, applied in the field of radar, can solve the problem of low contrast of ISAR image information and achieve the effect of improving accuracy
Active Publication Date: 2014-02-26
XIDIAN UNIV
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[0009] The object of the present invention is to address the deficiencies in the prior art above, to provide a method for detecting ISAR target components based on local feature matching, so as to perform component detection under the condition that the ISAR image information contrast is not high and there are multiple similar components in a complex target. Effective detection of
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[0030] refer to figure 1 , the implementation steps of the present invention are as follows:
[0031] Step 1, using two satellite echo signals D with the same radar field of view 1 and satellite cabin echo signal D 2 , get the first satellite image I 1 and the second satellite image I 2 .
[0032] (1a) Echo signal D from satellite 1 The echo data of two sections are intercepted in the middle, and the sub-satellite echo signal D with the data dimension of 64×64 is different. 11 and D 12 ;
[0033] (1b) Use the range Doppler imaging method to detect the echo signals D of the two sub-satellites 11 and D 12 Perform imaging processing to obtain the first satellite image I 1 and the second satellite image I 2 ;
[0034] The existing radar imaging methods include non-parametric methods and parametric methods. Since the data prediction introduced by the parametric method will cause image distortion, the non-parametric method is adopted, and the typical non-parametric metho...
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The invention discloses an ISAR (inverse synthetic aperture radar) target component detection method based on local feature matching and mainly solves the problem that images with low contrast ratio and complicated target components cannot be detected in the prior art. According to the scheme, the ISAR target component detection method comprises the steps of processing a satellite echo signal and a cabin echo signal by an imaging algorithm and a mutual correlation algorithm respectively to obtain a satellite image I1 and a transverse geometric size S1 of a cabin of a satellite, a cabin image J1 and a transverse geometric size S2 of the cabin of the satellite; calculating a transformation factor according to the two geometric sizes S1 and S2, then extracting position coordinates and information descriptors of feature points of the satellite image I1 and the cabin image J1, and designing a window according to the position coordinates, the information descriptors and the transformation factor; matching the feature points and removing wrong points according to the feature points in the window to implement local matching; and implementing component detection according to a relation between the maximum number of the matched feature points, which is obtained through local matching, and a threshold value. The ISAR target component detection method can be used for effectively detecting a plurality of target components under low contrast ratio and can be used for target detection and identification.
Description
technical field [0001] The invention belongs to the technical field of radar, in particular to a component detection method for large and complex targets in space, which can be used for the detection and identification of space targets. Background technique [0002] Inverse synthetic aperture radar (ISAR) imaging technology has been widely used in target imaging and target geometric shape identification and other fields. Since the attitude of the target will change relative to the radar line of sight, it is difficult to directly use ISAR imaging technology to detect components in the global range. Therefore, it is necessary to detect target components in the local range on the ISAR image formed by the echo signal. [0003] In ISAR imaging technology, for the detection method of complex target components, a relatively complete component echo signal library and the extraction and analysis of the energy characteristics of components in the echo signal are required, and the comp...
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IPC IPC(8): G06K9/46G06T7/00
Inventor 张磊许志伟邢孟道董祺吴敏
Owner XIDIAN UNIV