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Proceedings Paper

Applying texture marker-controlled watershed transform to the segmentation of IKONOS image
Author(s): Pengfeng Xiao; Xuezhi Feng; Shuhe Zhao; Shijie Xie; Peifa Wang; Rami Badawi
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Paper 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.

Paper Details

Date Published: 8 August 2007
PDF: 11 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520W (8 August 2007); doi: 10.1117/12.760467
Show Author Affiliations
Pengfeng Xiao, Nanjing Univ. (China)
Xuezhi Feng, Nanjing Univ. (China)
Shuhe Zhao, Nanjing Univ. (China)
Shijie Xie, Nanjing Univ. (China)
Peifa Wang, Nanjing Univ. (China)
Rami Badawi, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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