원문정보
초록
영어
This paper presents an efficient algorithm that segments the synthetic aperture radar (SAR) image into several homogeneous regions by combining edge- and region-based information. A multi-direction ratio edge detector is used to capture the locally directional variation information of a SAR image and construct the ratio edge strength map (RESM) of the SAR image. Watershed transformation is performed on the thresholded RESM to obtain an over-segmentation result. An efficient hierarchical region merging procedure based on the region adjacency graph representation of the image regions is proposed. A novel dissimilarity measurement between the two adjacent regions is derived from the multiplicative noise speckle model of the multi-look SAR image. Experimental results and the performance evaluation show that the proposed method outperforms two widely used SAR image segmentation approaches.
목차
1. Introduction
2. Problem Formulation and Algorithm Skeleton
3. Initial Partition
4. Hierarchical Region Merging
4.1. Dissimilarity Measurement
4.2. Iterative Region Merging
5. Experiments and Performance Evaluation
5.1. Experiments for Synthetic and Real SAR Images
5.2. Performance Evaluation
6. Conclusion
Acknowledgements
References