8 August 2007 Applying texture marker-controlled watershed transform to the segmentation of IKONOS image
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Abstract
The methods of segment-based image analysis are becoming more and more important for remote sensing as a result of the progresses in spatial resolution of satellite image. An approach to segmentation of IKONOS panchromatic image based on frequency domain filtering and marker-controlled watershed transform is presented in the paper. Primarily the texture and edge features are extracted from the response of log Gabor filtering. The texture features are obtained from the amplitude response, and phase congruency is introduced as a new method to detect invariant edge features. Then an approach to combining texture with edge features is presented and used to implement the marker-controlled watershed segmentation. Combination of different frequency texture features is used to mark different complicated images. Finally empirical discrepancy is calculated to evaluate the segmentation results. It shows that the precision of right segmentation is up to 80~85%. The approach presented in the paper basically satisfies the demand of feature recognition and extraction of high-resolution remotely sensed imagery.
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Pengfeng Xiao, Pengfeng Xiao, Xuezhi Feng, Xuezhi Feng, Shuhe Zhao, Shuhe Zhao, Shijie Xie, Shijie Xie, Peifa Wang, Peifa Wang, Rami Badawi, Rami Badawi, } "Applying texture marker-controlled watershed transform to the segmentation of IKONOS image", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520W (8 August 2007); doi: 10.1117/12.760467; https://doi.org/10.1117/12.760467
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