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Journal of Applied Remote Sensing

Modified log-ratio operator for change detection of synthetic aperture radar targets in forest concealment
Author(s): Gui Gao; Xiaoyang Wang; Min Niu; Shilin Zhou
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Paper Abstract

Inherent speckle noise greatly limits the performance of change detection in synthetic aperture radar (SAR) images. In order to reduce the influence of such speckle noise, a modified-log-ratio (MLR) operator for change detection of targets in forest concealment is proposed. By performing a logarithm of the linear transform ratio on the pixel amplitude using multilook processing to generate a difference image, the presented MLR operator is theoretically proven to be capable of improved restraining of the negative effect of speckle noise over the conventional log-ratio operator. A Gaussian distribution of the MLR statistics is assumed, which facilitates the adaptive detection of targets using a constant false alarm rate technique. Experimental results based on the public VHF-band CARABAS-II SAR image dataset validate the effectiveness of the proposed operator.

Paper Details

Date Published: 28 July 2014
PDF: 10 pages
J. Appl. Remote Sens. 8(1) 083583 doi: 10.1117/1.JRS.8.083583
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Gui Gao, National Univ. of Defense Technology (China)
Xiaoyang Wang, National Univ. of Defense Technology (China)
Min Niu, National Univ. of Defense Technology (China)
Shilin Zhou, National Univ. of Defense Technology (China)


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