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| Remote-Sensing Image Segmentation Based on Improved Wavelet-Domain Hidden Markov Models |
| Guo Song-tao; Sun Qiang; Jiao Li-cheng |
| Institute of Intellgent Information Processing Xidian University Xi’an 710071 China |
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Abstract Improved wavelet-domain HMT based remote-sensing image segmentation algorithm is proposed in this paper, The algorithm is based on 2-D directional wavelet, which is implemented via Hilbert transform pairs. The 2-D directional wavelet can provide both shift invariance and good directional selectivity. In this paper, the dependence of wavelet coefficients lied in inter scale is modeled efficiently, and a new segmentaion algorithm is produced by combining this with multicontext fusion method. A better segmentation result for remote-sensing image with smaller computational burden is obtained,
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Received: 09 October 2003
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2005, Vol. 27 
