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Proceedings Paper

A change detection algorithm for man-made objects based on remote sensing images
Author(s): Wenwu Wang; Zhiguo Cao
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Paper Abstract

Radiometric difference, misregistration error and the determination of classification threshold for difference image seriously influenced the detection accuracy of traditional pixel-level change detection algorithms, and it is difficult to get the true changes of interest from various kinds of detected changes. Therefore, a novel change detection algorithm is proposed to detect changes of man-made objects in remote sensing images. Large-size images are divided into overlapping and multi-scale sub-images, and three kinds of multi-scale structural features (including interscale or intrascale features), such as central-shift moments, gradient-magnitude features, gradient-orientation features and line-length features are extracted by support vector machine (SVM) classification. Experimental results demonstrate the feasibility and effectiveness of the proposed algorithm.

Paper Details

Date Published: 23 November 2011
PDF: 4 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800617 (23 November 2011); doi: 10.1117/12.902078
Show Author Affiliations
Wenwu Wang, Huazhong Univ. of Science and Technology (China)
Wuhan Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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