Multichannel SAR-GMTI method based on target shape and shadow assistance

Abstract

The invention discloses a multichannel SAR-GMTI method based on target shape and shadow assistance. The ideal of the method is that multichannel self-adaptive clutter suppression and cell average-constant false alarm rate (CA-CFAR) detection are performed on M-1 SAR images after image registration and channel equalization and an original SAR image of a reference channel so that a binary image is obtained; then clustering processing is performed on the binary image so that all potential moving targets and size information and position information thereof are obtained; then shadow size matching templates corresponding to the potential moving targets are calculated according to the established moving target shadow geometric calculation model and the acquired potential moving target size information, and shadow position matching templates are generated by utilizing radial speed estimation values and the position information of the potential moving targets; and finally the two shadow templates are respectively matched according to the size information and the position information of the segmented shadow areas of the SAR images, false moving targets without matching of shadow areas are removed, and thus false alarm is reduced.

Description

technical field [0001] The invention belongs to the technical field of moving target detection of moving platform radar (including airborne / spaceborne radar), in particular to a multi-channel synthetic aperture radar ground moving target detection based on target shape and shadow assistance (Synthetic Aperture Radar-based Ground Moving Target Indication, SAR-GMTI) method, suitable for the detection of moving targets in the background of airborne remote surveillance applications. Background technique [0002] Synthetic Aperture Radar Ground Moving Target Detection (SAR-GMTI) technology has become a research hotspot in the field of radar ground moving target detection in recent years. Synthetic aperture radar ground moving target detection (SAR-GMTI) technology can not only complete the detection, parameter estimation and positioning of ground moving targets, but also complete high-resolution imaging of ground scenes; with the improvement of radar system performance, SAR image...

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Problems solved by technology

[0005] Shi Hongyin and others used the detection method of the shadow area of ​​a single high-resolution SAR image in the literature "Single high-resolution SAR image moving target detection method based on shadow detection" (Signal Processing, 2012, 28 (12)), combined with road Auxiliary information of the moving target can be used to detect, accurately locate, and estimate parameters, but it only considers the characteristics of the orthographic shadow left by the moving target itself, and also requires the orthographic shadow to have a high signal-to-noise ratio, and the actual SAR image The striped road area is close to the noise level, so it is difficult to accurately extract moving orthoshadows

[0006] Jahangir M proposed in the document "Moving target detection for synthetic aperture radar via shadow detection" (IET International Conference on Radar Systems, 2007) that in the spotlight mode, the sequence shadow position changes of multi-view SAR images are used to realize the detection of moving targets , Tracking and precise positioning, although the detection performance is not affected by the signal-to-clutter ratio, it requires precise registration of the sequence of multi-view SAR images, and it is also required to distinguish moving targets and ground objects by changing the viewing angle in a large range The change of scene shadows is also difficult to implement

[0007] Therefore, for the detection of moving targets using the shadow characteristics of ground moving targets, there is currently no more generally applicable detection method

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