An Object-based Change Detection Approach by Integrating Intensity and Texture Differences

被引:16
作者
Huang, Lingcao [1 ]
Zhang, Guo [2 ,3 ]
Li, Yang [2 ]
机构
[1] Wuhan Univ, Sch Remote Sensing Informat Engn, Wuhan, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
[3] Chinese Acad Surveying & Mapping, Beijing, Peoples R China
来源
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3 | 2010年
基金
国家高技术研究发展计划(863计划);
关键词
Pixel-based; Object-based; Change Detection; Mean Shift; Texture Differences;
D O I
10.1109/CAR.2010.5456680
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames is studied. An object based change detection method based on this technique is proposed. Experimental results show that the integrated measure is robust with respect to the illumination changes and noise, the performance of which is outstanding especially when applied to object-based change detection because of pixels' consistency in an object and sharp contrast between objects.
引用
收藏
页码:258 / 261
页数:4
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