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A Neighborhood-Based Ratio Approach for Change Detection in SAR Images

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3 Author(s)
Maoguo Gong ; Key Laboratory of Intellisensing and Image Understanding of the Ministry of Education, Xidian University, Xi'an, China ; Yu Cao ; Qiaodi Wu

This letter presents a novel neighborhood-based ratio (NR) operator to produce a difference image for change detection in synthetic aperture radar (SAR) images. In order to reduce the negative influence of speckle noise on SAR images, the proposed NR operator produces a difference image by combining gray level information and spatial information of neighbor pixels. The performance comparisons of the proposed operator with a traditional ratio operator and a log-ratio operator indicate that the NR operator is superior to these traditional methods and produces better detection results.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:9 ,  Issue: 2 )