Change detection in high resolution SAR images based on multiscale texture features

Caihuan Wen; Ziqiang Gao

doi:10.1117/12.902035

23 November 2011 Change detection in high resolution SAR images based on multiscale texture features

Caihuan Wen, Ziqiang Gao

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062D (2011) https://doi.org/10.1117/12.902035
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

This paper studied on change detection algorithm of high resolution (HR) Synthetic Aperture Radar (SAR) images based on multi-scale texture features. Firstly, preprocessed multi-temporal Terra-SAR images were decomposed by 2-D dual tree complex wavelet transform (DT-CWT), and multi-scale texture features were extracted from those images. Then, log-ratio operation was utilized to get difference images, and the Bayes minimum error theory was used to extract change information from difference images. Lastly, precision assessment was done. Meanwhile, we compared with the result of method based on texture features extracted from gray-level cooccurrence matrix (GLCM). We had a conclusion that, change detection algorithm based on multi-scale texture features has a great more improvement, which proves an effective method to change detect of high spatial resolution SAR images.

Citation Download Citation

Caihuan Wen and Ziqiang Gao "Change detection in high resolution SAR images based on multiscale texture features", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062D (23 November 2011); https://doi.org/10.1117/12.902035

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