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10. Ridgelet Transform as a Feature Extraction Method in Remote Sensing Image Recognition.

Author

Benedetto, John J., Qian, Tao, Vai, Mang I, Xu, Yuesheng, Ren, Yuanyuan, Wang, Shuang, Yang, Shuyuan, and Jiao, Licheng

Abstract

Using ridgelet transform to do the feature extraction, and RBFNN to do the recognition and classification, a remote sensing image recognition method is put forward in this paper. We do mathematical implementation and experimental investigation of ridgelet transform to analyze its characteristic and show its performance. Since ridgelet transform outperforms wavelet transform in extracting the linear features of objects, the proposed method has higher efficiency than that of wavelets. The simulation in remote sensing image shows its feasibility.. [ABSTRACT FROM AUTHOR]

Published
2006
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