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Proceedings Paper

Algorithm of extended terrain classification in high-resolution SAR images
Author(s): Kun Fu; Gangyao Kuang; Wenxian Yu
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Paper Abstract

A target classification algorithm in high resolution and single polarimetric SAR image is presented in this paper. First, a new RCS reconstruction filter base don the modified correlated neighborhood model is used for target and shadow detection. By nonlinear iterated process, the whole image can be classified to 'background', 'shadow' and 'targets'. Secondly, a series of morphological operators are used to terrain filtering and edge extraction, and then through modified Hough Transform technology and the measure of slimming lines, line structures of man-made clutters in 'target' class are linked and grouped. Finally, with spatial association mode, the targets we are interested in are classified.

Paper Details

Date Published: 24 September 2001
PDF: 10 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441644
Show Author Affiliations
Kun Fu, National Univ. of Defense Technology (China)
Gangyao Kuang, National Univ. of Defense Technology (China)
Wenxian Yu, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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