New independent component analysis (ICA) method and its application to remote sensing images

Xiaohui Zhang; Chi Hau Chen

doi:10.1117/12.454149

28 January 2002 New independent component analysis (ICA) method and its application to remote sensing images

Xiaohui Zhang, Chi Hau Chen

Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454149
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

In this paper, a new independent component analysis (ICA) method is proposed that makes use of the higher order statistics. We name it joint cumulant ICA (JC-ICA) algorithm. It can be implemented efficiently by a neural network. Its applications in AVIRIS data and change detection are discussed. The results show the potential usage in image processing problems.

Citation Download Citation

Xiaohui Zhang and Chi Hau Chen "New independent component analysis (ICA) method and its application to remote sensing images", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454149

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