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Proceedings Paper

SAR image quantization and enhancement for vehicle target recognition
Author(s): Zhoufeng Liu; Shumin Ding; Peikun He
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Paper 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.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604336 (3 November 2005); doi: 10.1117/12.655043
Show Author Affiliations
Zhoufeng Liu, Zhongyuan Institute of Technology (China)
Shumin Ding, Zhongyuan Institute of Technology (China)
Peikun He, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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