MULTI-SCALE SEGMENTATION IN CHANGE DETECTION FOR URBAN HIGH RESOLUTION IMAGES

被引:1
作者
Zhang, Junping [1 ]
Mu, Chunfang [1 ]
Chen, Hao [1 ]
Zhang, Ye [1 ]
机构
[1] Harbin Inst Technol, Dept Informat Engn, Harbin 150001, Peoples R China
来源
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词
High resolution images; urban area; multi-scale segmentation; object-oriented technique; REMOTE-SENSING IMAGES; CLASSIFICATION; AREAS;
D O I
10.1109/IGARSS.2011.6048929
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
In recent years, remote sensing images with high resolution are increasingly applied in change detection and disaster assessment. Compared with the traditional pixel-based methods, object-oriented image processing techniques have attracted more attention for high resolution images. In this paper, we aim to research the object-oriented change detection for urban area. A new multi-scale segmentation algorithm is proposed so as to obtain accurate image objects, and a pre-processing step is adopted to improve the computation efficiency. In order to testify the performance of proposed method, experiments are conducted on QuickBird images. The experimental results show that accurate image objects and changed area can be acquired in appropriate scales.
引用
收藏
页码:209 / 212
页数:4
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