Earticle

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

Abstract
 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

키워드

저자

• Song Hongxun [ Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Chang’an University, Xi’an, China School of Information Engineering, Chang’an University, Xi’an, China ]
• Wang Weixing [ Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Chang’an University, Xi’an, China School of Information Engineering, Chang’an University, Xi’an, China ]
• Zhang Tingting [ Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Chang’an University, Xi’an, China School of Information Engineering, Chang’an University, Xi’an, China ]
• Yu Tianchao [ Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Chang’an University, Xi’an, China School of Information Engineering, Chang’an University, Xi’an, China ]
• Song Junfang [ Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Chang’an University, Xi’an, China School of Information Engineering, Chang’an University, Xi’an, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605