Segmentation of the Synthetic Aperture Radar Image Using the Watershed Transformation and Region Merging Technique
Chuanxian Jiang, Zhiping Li, Xiaohui Chen, Zejun Zhang, YI Ye-qing · International Journal of Smart Home · 2016
This paper presents an efficient algorithm that segments the synthetic aperture radar (SAR) image into several homogeneous regions by combining edgeand 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.