SAR image quantization and enhancement for vehicle target recognition

Zhoufeng Liu; Shumin Ding; Peikun He

doi:10.1117/12.655043

3 November 2005 SAR image quantization and enhancement for vehicle target recognition

Zhoufeng Liu, Shumin Ding, Peikun He

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604336 (2005) https://doi.org/10.1117/12.655043
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

The gray scale data in SAR image samples containing vehicle targets and common image quantization and enhancement methods have been generally analyzed and a new SAR image quantization and enhancement method in the spatial domain based on point processing has been given, in which, image data quantization range is selected by using the statistical features in gray data of all image sets as parameters and gray scales of the probable target points with high scatting strength beyond the quantization range are set to the highest gray scale. Thereby not only the original statistics in images are retained but also the target information is enhanced. The method of optimal parameter selection is also given. The well-pleasing results for vehicle target recognition have been obtained.

Citation Download Citation

Zhoufeng Liu, Shumin Ding, and Peikun He "SAR image quantization and enhancement for vehicle target recognition", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604336 (3 November 2005); https://doi.org/10.1117/12.655043

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