Special Section on Advances in Infrared Remote Sensing and Instrumentation

Farmland detection in synthetic aperture radar images with texture signature

[+] Author Affiliations
Wentao Xu

East China Normal University, Computer Science Department, Shanghai 200062, China

Guixu Zhang

East China Normal University, Computer Science Department, Shanghai 200062, China

Ye Duan

University of Missouri, Computer Science Department, Columbia, Missouri, 65211

J. Appl. Remote Sens. 8(1), 084997 (Mar 21, 2014). doi:10.1117/1.JRS.8.084997
History: Received October 22, 2013; Revised December 30, 2013; Accepted January 15, 2014
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Abstract.  The detection of farmland in synthetic aperture radar (SAR) images is useful to compute agriculture distribution in mountainous regions. The SAR technology is helpful to government agencies compiling much needed information for agricultural assessment of need-based data. We propose a texture signature to detect farmland in SAR. The texture signature is extracted from the texture pixels of the SAR image through the fuzzy c-means, where each texture pixel is a vector whose elements are the convolution value of the filters of the normalized Gaussian derivatives and SAR images at a spatial position. Then, we use the texture signatures to detect farmland in SAR images through the earth mover’s distance method. In the end, we propose a different approach to compute both the true positive rate and the false positive rate of receiver operating characteristic (ROC) curve. We use the area under the curve of ROC to achieve the best sample and the best threshold which realizes the best detection. The experiment results also show the best performance of the detection.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Wentao Xu ; Guixu Zhang and Ye Duan
"Farmland detection in synthetic aperture radar images with texture signature", J. Appl. Remote Sens. 8(1), 084997 (Mar 21, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084997


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