An edge embedded marker-based watershed algorithm for high spatial resolution remote sensing image segmentation

Authors:
Deren Li;Guifeng Zhang;Zhaocong Wu;Lina Yi
Affiliations:
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Hubei, China;Academy of Opto-Electronics, Chinese Academy of Science, Beijing, China;School of Remote Sensing and Information Engineering, Wuhan University, Hubei, China;School of Remote Sensing and Information Engineering, Wuhan University, Hubei, China
Venue:
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Year:
2010

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Abstract

This correspondence proposes an edge embedded markerbased watershed algorithm for high spatial resolution remote sensing image segmentation. Two improvement techniques are proposed for the two key steps of maker extraction and pixel labeling, respectively, to make it more effective and efficient for high spatial resolution image segmentation. Moreover, the edge information, detected by the edge detector embedded with confidence, is used to direct the two key steps for detecting objects with weak boundary and improving the positional accuracy of the objects boundary. Experiments on different images show that the proposed method has a good generality in producing good segmentation results. It performs well both in retaining the weak boundary and reducing the undesired over-segmentation.