收稿日期: 2013-10-17
修回日期: 2014-01-13
网络出版日期: 2014-09-15
基金资助
国家自然科学基金（61302170）和高分对地观测领域学术交流项目（GFZX04060103）资助
Nonlinear shape prior-based object extraction in high resolution remote sensing images
Received date: 2013-10-17
Revised date: 2014-01-13
Online published: 2014-09-15
刘格 , 胡岩峰 , 孙显 , 王宏琦 . 基于非线性形状先验的高分辨率遥感图像目标提取方法[J]. 中国科学院大学学报, 2014 , 31(5) : 671 -677 . DOI: 10.7523/j.issn.2095-6134.2014.05.013
In this study,given shape templates of some object,we model them by using kernel principal component analysis and then propose a new object extraction method for high resolution remote sensing images, which integrates shape prior and several image appearance information,including edge,color, and shadow. Based on active contour model,a new energy function is constructed and minimized through an iterative global optimization method to get the accurate segmentation results. Experimental results show that our method has high efficiency, high accuracy, and the robustness with respect to various background disturbances.
Key words： object extraction; shape prior; active contour model; global optimization
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