Object-Oriented Approach and Texture Analysis for Change Detection in Very High Resolution Images

Author(s):  
Antoine Lefebvre ◽  
Thomas Corpetti ◽  
Laurence Hubert-Moy
Author(s):  
Yonghong Jia ◽  
Mingting Zhou ◽  
Ye Jinshan

The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the appearance of high resolution remote sensing image, object-oriented change detection method arises at this historic moment. In this paper, we research multi-scale approach for high resolution images, which includes multi-scale segmentation, multi-scale feature selection and multi-scale classification. Experimental results show that this method has a stronger advantage than the traditional single-scale method of high resolution remote sensing image change detection.


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