%0 Journal Article
%T Mathematical Morphological Segmentation of IKONOS Multispectral Data<br>基于数学形态学的IKONOS多光谱图像分割方法研究
%A XU Chun-yan
%A FENG Xue-zhi
%A ZHAO Shu-he
%A XIAO Peng-feng
%A <br>徐春燕
%A 冯学智
%A 赵书河
%A 肖鹏峰
%J 遥感学报
%D 2008
%I 
%X Image segmentation has been an mi portant research area in mi age analysis and interpretation. An ideal seg- mentation strategy of remotely sensed data should considerproblems ofover-segmentation and under-segmentation smi ulta- neously and find a good tradeoffbetween them. In thispaper, mi age segmentation for IKONOSmultispectraldata is inves- tigated by using techniques ofmathematicalmorphology, and a novelhybrid segmentation algorithm is proposed by combi- ning both edge and texture featuresof mi ages. Based on theK-L transform ofmultispectraldata, edge features are detected bymorphologicalmultiscale andmultidirection gradient algorithms, and mi age objects aremarked throughmorphological filtering and localvariance features extracting. Finally, themarkercontrolledwatershed algorithm is mi plemented. The re- sults indicate that the performance of the proposed algorithm is superior to the gradientbasedwatershed segmentation. Mo- reover, this approach ismore suitable forhigh resolution remotely sensed data to overcome over-segmentation and under- segmentation problems effectively.
%K miage segmentation
%K mathematicalmorphology
%K marker controlled watershed segmentation
%K high resolu- tionmultispectral remotely sensed data<br>图像分割
%K 数学形态学
%K 标记控制的分水岭分割
%K 高分辨率多光谱遥感图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=B18A60DF67B58F77DD94B9B1FA7E8099&yid=67289AFF6305E306&vid=59906B3B2830C2C5&iid=B31275AF3241DB2D&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=22