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Sea--Land Segmentation Via Hierarchical Region Merging and Edge Directed Graph Cut
Cheng, Dongcai; Meng, Gaofeng; Pan, Chunhong
2016
会议名称International Conference on Image Processing
会议日期September 25-28, 2016
会议地点Phoenix, Arizona, USA
摘要  Separating an optical remote sensing image into sea  and land areas is very challenging yet of great importance to the coastline extraction and subsequent object detection. In this paper, we propose a hierarchical region merging approach to automatically extract the sea area  and employ edge directed graph cut (GC) to accomplish the final segmentation. Firstly, an image is segmented into superpixels and a graph-based merging method is employed to extract the maximum area of sea region (MASR). Then the non-connected sea regions are identified by measuring the distance between their superpixels and the MASR. When modelling the pairwise term in GC, we incorporate edge information between neighboring superpixels to reduce under--segmentation.  Experimental results on a set of challenging images demonstrate the effectiveness of our method by comparing it with the state-of-the-art approaches.
关键词Sea--land Segmentation Hierarchical Region Merging Maximum Area Of Sea Region (Masr) K-means Edge Directed Graph Cut (Gc)
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/15516
专题空天信息研究中心
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Cheng, Dongcai,Meng, Gaofeng,Pan, Chunhong. Sea--Land Segmentation Via Hierarchical Region Merging and Edge Directed Graph Cut[C],2016.
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