Anomaly detection in polarimetric radar images

被引：3

作者：

Melamed, Georgy ^{[1
]}

Rotman, Stanley R. ^{[2
]}

Blumberg, Dan G. ^{[3
]}

Weiss, Anthony J. ^{[1
]}

机构：

[1] Tel Aviv Univ, Dept Elect Engn, IL-69978 Ramat Aviv, Israel

[2] Ben Gurion Univ Negev, Dept Elect & Comp Engn, IL-84105 Beer Sheva, Israel

[3] Ben Gurion Univ Negev, Dept Geog & Environm Dev, IL-84105 Beer Sheva, Israel

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2012年 / 33卷 / 04期

关键词：

TARGET DETECTION; SAR; DECOMPOSITION; SEGMENTATION; CALIBRATION; STATISTICS; PHASE;

D O I：

10.1080/01431161.2010.550650

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

An unsupervised anomaly detection algorithm for synthetic aperture radar (SAR) images, making use of polarized data, is developed. The processing contains several stages, including calibration of the images, extraction of information parameters and speckle filtering, detection of candidate pixels and application of a constant false alarm rate (CFAR) morphology operator. The developed algorithm is independent of the anomaly's radar cross section (RCS); it depends only on the physical structure of the observed objects. The proposed processing is non-iterative, adaptive and semi-automatic. Performance evaluation shows improved performance of the algorithm over the common alternatives.

引用

页码：1164 / 1189

页数：26

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