Extended target detection based on generalized compound model in high resolution SAR images

Jiangyuan Li; Jianguo Wang

doi:10.1117/12.774201

10 November 2007 Extended target detection based on generalized compound model in high resolution SAR images

Jiangyuan Li, Jianguo Wang

Proceedings Volume 6795, Second International Conference on Space Information Technology; 679532 (2007) https://doi.org/10.1117/12.774201
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

In high-resolution synthetic aperture radar (SAR) images, the target size may be much larger than the resolution of SAR and the background clutter statistics are generally not Gaussian-distributed. But traditional constant false alarm rate (CFAR) detection algorithm, which based on the Gaussian-distributed model, performs only one test cell at a time and ignores the mutuality information with other cells in the target, so the performance of the CFAR detection algorithm can be substantially degraded. In the paper, an extend target detection method based on the generalized compound model is proposed. Unlike traditional CFAR detection method which distinguish test cell from the background only on the basis of energy contrast, the extend target detection is sensitive to both the contrast and the distribution of the target. We demonstrate the improved performance using the extend target detection method in the real high-resolution SAR images.

Citation Download Citation

Jiangyuan Li and Jianguo Wang "Extended target detection based on generalized compound model in high resolution SAR images", Proc. SPIE 6795, Second International Conference on Space Information Technology, 679532 (10 November 2007); https://doi.org/10.1117/12.774201

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