Optimal edge detection and edge localization in complex SAR images with correlated speckle

被引：23

作者：

Fjortoft, R ^{[1
]}

Lopès, A

Bruniquel, J

Marthon, P

机构：

[1] Ctr Etud Spatiales Biosphere, CESBIO, F-31401 Toulouse, France

[2] Alten Sud Ouest, F-31312 Labege, France

[3] Ecole Natl Super & Electrotech Elect Informat & H, Inst Rech Informat Toulouse, Lab Informat & Math Appl, F-31071 Toulouse, France

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1999年 / 37卷 / 05期

关键词：

edge detection; edge localization; segmentation; single look complex (SLC); synthetic aperture radar (SAR) images; speckle correlation;

D O I：

10.1109/36.789623

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We here develop optimal criteria for detection and localization of step edges in single look complex (SLC) synthetic aperture radar (SAR) images. By working on complex data rather than intensity images, we can easily take the speckle autocorrelation into account, obtain more accurate estimates of local mean reflectivities, and thus achieve better edge detection and edge localization than with operators known from the literature. Algorithms for the two-dimensional (2-D) implementation of the methods are proposed, and some segmentation results are shown.

引用

页码：2272 / 2281

页数：10

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