A change detection algorithm for man-made objects based on remote sensing images

Wenwu Wang; Zhiguo Cao

doi:10.1117/12.902078

23 November 2011 A change detection algorithm for man-made objects based on remote sensing images

Wenwu Wang, Zhiguo Cao

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 800617 (2011) https://doi.org/10.1117/12.902078
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Wenwu Wang and Zhiguo Cao "A change detection algorithm for man-made objects based on remote sensing images", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800617 (23 November 2011); https://doi.org/10.1117/12.902078

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KEYWORDS

Detection and tracking algorithms

Remote sensing

Image resolution

Image segmentation

Feature extraction

Image classification

Buildings

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