红外与毫米波学报2013，Vol.32Issue(1)：73-79,7.DOI:10.3724/SP.J.1010.2013.00073
结合光谱相似性与相位一致模型的高分辨率遥感图像分割方法
Segmentation of high-resolution remotely sensed imagery combining spectral similarity with phase congruency
摘要
Abstract
A modified algorithm of marker-based watershed segmentation was proposed by combining spectral similarity with phase congruency model in this paper.The performance of segmentation using marker-based watershed algorithm was decided by the result of edge detection from remotely sensed imagery.Thus we use spectral similarity of the same type ground object from remotely sensed imagery to suppress fake edges and noises to retrieve good segmentation results.In this paper, a spectral similarity model defined by the sum of distance of spectral curve between the target pixel and adjacent pixels was introduced into phase congruency model for edge detection.Then segmentation of remotely sensed imagery was obtained by using auto marker-based watershed algorithm.Finally, an unsupervised evaluation and comparison of the image segmentation from the proposed algorithm and some other existing algorithms was implemented using information entropy.Furthermore, the computation time of the proposed algorithm was also compared with other algorithms.The experimental segmentation results show that the proposed algorithm can reduce the over-segmentation phenomenon efficiently and it is readily to obtain better segmentation results by using this algorithm.关键词
光谱相似性/相位一致/高分辨率遥感图像/图像分割/边缘检测Key words
spectral similarity/ phase congruency/ high-resolution remote sensing image/ image segmentation/ edge detection分类
信息技术与安全科学引用本文复制引用
王珂,顾行发,余涛,林金堂,吴桂平,李小江..结合光谱相似性与相位一致模型的高分辨率遥感图像分割方法[J].红外与毫米波学报,2013,32(1):73-79,7.基金项目
国家重点基础研究发展规划(973计划)项目(2010CB950500) （973计划）
国际科技合作计划资助项目(2010DFA21880) （2010DFA21880）
中国科学院对外重点合作项目(GJHZ1003) （GJHZ1003）
