自动化学报Issue(6)：1156-1165,10.DOI:10.3724/SP.J.1004.2014.01156
结合局部分类水平集与颜色特征的遥感影像阴影检测
Shadow Detection of Remote Sensing Images Based on Local-classification Level Set and Color Feature
摘要
Abstract
To detect the intensity inhomogeneous shadows and bright shadows in remote sensing images, this paper proposes a shadow detection method combining level set with the feature of color space. Based on the brightness nonuni-formity of shadow regions in remote sensing images, the local classification level set segmentation model is firstly adopted to obtain the preliminary shadow regions. Then the color feature difference between shadow regions and green ones is analyzed and used to distinguish green space from the preliminary shadow areas. Experimental results show that the proposed method is superior to the existing methods such as blackbody radiation model and adaptive feature selection. The omitted error of the proposed method is low since the inhomogeneous shadows and bright ones are effectively detected, and the whole detecting process is done without manual intervention.关键词
遥感影像/阴影检测/水平集/颜色特征Key words
Remote sensing image/shadow detection/level set/color features引用本文复制引用
方菊芹,陈帆,和红杰,尹忠科..结合局部分类水平集与颜色特征的遥感影像阴影检测[J].自动化学报,2014,(6):1156-1165,10.基金项目
国家自然科学基金(61373180,60970122),中央高校基本科研业务专项基金(SWJTU09CX039, SWJTU10CX09)资助@@@@Supported by National Natural Science Foundation of China (61373180,60970122) and the Basic Scientific Research Busi-ness Special Fund for Central University (SWJTU09CX039, SWJTU10CX09) （61373180,60970122）
