원문정보
초록
영어
In this study, the algorithm that applies Wavelet and multi-scale analysis to remote sensing images is proposed for region variation detection on Markov random field. First of all, the Wavelet transform is adopted to decompose an original image into several sub-images, then the Mahalanobis distance decision function is used to detect the changes in different scale images, and finally the Markov random field is applied to fuse the change detection results at different scales. Since the Markov random field fusion method takes full account of the correlation between the adjacent pixels and the links of the change detection results at different scales, the fusion results are accurate and practical. The testing results prove that the studied algorithm is effective and robust.
목차
1. Introduction
2. Image Decomposition based on Wavelet Transform
3. Change Detection on Mahalanobis Distance
4. Markov Random Field Fusion
5. Test Results and Analysis
6. Conclusions
Acknowledgements
References