A Sea-land Segmentation Scheme Based on Statistical Model of Sea

摘要：

Sea-land segmentation is a key step for target detection. Due to the complex texture and uneven gray value of the land in optical remote sensing image, traditional sea-land segmentation algorithms often recognize land as sea incorrectly. A new segmentation scheme is presented in this paper to solve this problem. This scheme determines the threshold according to the adaptively established statistical model of the sea area, and removes the incorrectly classified land according to the difference of the variance in the statistical model between land and sea. Experimental results show our segmentation scheme has small computation complexity, and it has better performance and higher robustness compared to the traditional algorithms.

关键词： sea-land segmetations target detection statistical model statistical hypothesis test

作者: Xin You Weihai Li

作者单位: MOE-Microsoft key laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei, Anhui, 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: 1169-1173

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）