An algorithm of extended terrain classification in high resolution SAR images

被引：0

作者：

Fu, K ^{[1
]}

Kuang, GY ^{[1
]}

Yu, WX ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha, Peoples R China

来源：

OBJECT DETECTION, CLASSIFICATION, AND TRACKING TECHNOLOGIES | 2001年 / 4554卷

关键词：

SAR; RCS reconstruction; target detection; segment; extended terrain classification;

D O I：

10.1117/12.441644

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A target classification algorithm in high resolution and single polarimetric SAR image is presented in this paper. Firstly, a new RCS reconstruction filter based on 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 model, the targets we are interested in are classified.

引用

页码：252 / 261

页数：10

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