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Wavelet-based texture analysis for SAR image classification

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3 Author(s)
Chumsamrong, W. ; Fac. of Eng., King Mongkut''s Inst. of Technol., Bangkok, Thailand ; Thitimajshima, P. ; Rangsanseri, Y.

A novel method for SAR image classification based on the stationary wavelet transform is described. First, a SAR image is decomposed into 4 subbands using the stationary wavelet transform. Each pixel is then represented by a 4-dimension vector those components are taken from the wavelet subbands. The pixels are finally classified into a small set of categories by using a parametric supervised classification algorithm. The classification using this wavelet transform was successfully applied to a JERS-1/SAR image

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Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International  (Volume:3 )

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