Specific Class Extraction from Remote Sensing Imagery Based on Nearest Neighbor Classification

摘要：

Specific class extraction is an important part of information extraction from remotely sensed imagery. Based on the nearest neighbor classification rule, this paper studies the specific class extraction from remote sensing imagery. With the nearest neighbor classifier, the specific class extraction is considered as a two-class case, the interested and uninterested class. Firstly the mean shift based clustering technique was used to guarantee a good sample selection for the uninterested class. Then the nearest neighbor classification was performed to extract the interested class. To evaluate the quality of the interested class extraction, classification error probability was computed in the experiment.

关键词： nearest neighbor remote sensing specific class

作者: Shukui Bo Yongju Jing

作者单位: Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Manageme Library of Zhengzhou Institute of Aeronautical Industry Management Zhengzhou, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1705-1708

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）