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《Journal of Beijing Jiaotong University》 2007-04
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An Algorithm for Object-Oriented Multi-Scale Remote Sensing Image Segmentation

TAN Qu-lin1,LIU Zheng-jun2,SHEN Wei1 (1.School of Civil Engineering and Architecture,Beijing Jiaotong University,Beijing 100044,China;2.Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing 100039,China)  
In order to utilize the rich scale-dependent information contained in high resolution remote sensing images,the geo-science applications of remote sensing image and geographical information extraction must be carried out under multi-scale condition.Therefore,the conventional developed image segmentation methods for only one scale can't meet these requirements.In this paper,an object oriented multi-scale image segmentation method is introduced based on minimum heterogeneity criterion of neighbouring region growing.This procedure can easily adapt its scale parameter to different scale image analysis tasks and any chosen scale object-extraction of interest.In a word,it can provide enormous object characteristics for further object-oriented processing or analysis.
【Fund】: 国家自然科学基金资助项目(40401037);; 北京交通大学校基金资助项目(2005SM036)
【CateGory Index】: TP751
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