Ground Object Automat Extraction

摘要：

The work mentioned in this paper that focuses on extraction for ground object are showed as follow.The paper -brings forward a method of statistic standard based on finite threshold segmentation about habitation texture in middle or small scale remote sensing images,this way inducts six statistic standard based on finite threshold segmentation;By applying SOM method,the result of statistic standard on segmentation on different threshold is used to be input sample for SOM following certain rule,the maps model are trained to extract habitation;Then,clustering processing is implemented,and the habitation blocks are gained.And at last get the optimized habitation edge.

关键词： extraction for habitation Texture analysis Self-Organizing Feature Maps statistic standard based on finite threshold segmentation

作者: Yisheng Zhang Fei Niu

作者单位: Beijing Institute of Applied Meteorology Beijing,China Beijing globe center of information application and development Beijing,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 160-163

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）