
Proceedings Paper
Applying texture marker-controlled watershed transform to the segmentation of IKONOS imageFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
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)
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)
Peifa Wang, Nanjing Univ. (China)
Rami Badawi, Nanjing Univ. (China)
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
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