DocumentCode :
44142
Title :
Unstructured Versus Structured GLRT for Multipolarization SAR Change Detection
Author :
Carotenuto, Vincenzo ; De Maio, Antonio ; Clemente, Carmine ; Soraghan, John
Author_Institution :
DIETI, Univ. degli Studi di Napoli “Federico II”, Naples, Italy
Volume :
12
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1665
Lastpage :
1669
Abstract :
Coherent multipolarization synthetic aperture radar (SAR) change detection exploiting data collected from N multiple polarimetric channels is addressed in this letter. The problem is formulated as a binary hypothesis testing problem, and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a detector based on the generalized likelihood ratio test (GLRT) criterion. It is shown that the structured decision rule ensures the constant false alarm rate property with respect to the unknown disturbance covariance. Results on both simulated and real high-resolution SAR data show the effectiveness of the considered decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.
Keywords :
covariance matrices; radar detection; radar polarimetry; radar resolution; synthetic aperture radar; N multiple polarimetric channel; binary hypothesis testing problem; block-diagonal structure; coherent multipolarization synthetic aperture radar; constant false alarm rate property; generalized likelihood ratio test; multipolarization SAR change detection; polarimetric covariance matrix; real high-resolution SAR data; structured GLRT; structured decision rule; unknown disturbance covariance; unstructured GLRT; Covariance matrices; Detectors; Performance analysis; Receivers; Remote sensing; Synthetic aperture radar; Testing; Change detection; multipolarization; structured generalized likelihood ratio test (GLRT);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2418575
Filename :
7095522
Link To Document :
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