Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation

被引：0
|
作者：
Sun Xiaoxia [1 ]
Zhang Jixian [1 ]
Yan Qin [1 ]
Zhai Liang [1 ]
机构：
[1] Chinese Acad Surveying & Mapping, Beijing, Peoples R China
来源：
2013 JOINT URBAN REMOTE SENSING EVENT (JURSE) | 2013年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.
引用
收藏
页码：171 / 173
页数：3
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