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《Acta Scientiarum Naturalium Universitatis Pekinensis》 2012-02
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Automatic Extraction of Coastline from TM Image Integrating Texture and Spatial Relationship

ZHOU Yanan,ZHU Zhiwen,SHEN Zhanfeng,CHENG Xi Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101  
The authors present an effective approach to extracting coastline from TM imagery,integrating texture and spatial relationship of imagery.Firstly,the image area is classified into two main categories(one is water,the other is land),exploiting the texture and MNDWI,which are extracted from the input image.Secondly,the segmentation above is dealt with locally using mathematical morphology and the small heterogeneous regions in water and land are filled using the region growing method,relying on the spatial relationships and expert knowledge about the coastline.Finally,vectorizing the segmented image generates the final coastline,and the coastline is assessed by the proposed evaluation system,which is found on the matching of two lines.The experimental results demonstrate that the proposed method is able to accurately extract coastlines from TM image of Liaodong Peninsula.Moreover,texture and spatial relationships are useful information for coastline extraction.
【Fund】: 国家自然科学基金(60873033 40971228);; 863计划(2009AA12Z123 2009AA12Z148)资助
【CateGory Index】: TP751
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