期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 12, 期 5, 页码 1151-1155出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2014.2386878
关键词
Cross-sharpening; image segmentation; spatial displacement; unsupervised change detection
类别
资金
- Korea Aerospace Research Institute
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF-2013R1A1A1060343, NRF-2012M1A3A3A02033469]
- National Research Foundation of Korea [2012M1A3A3A02033469] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this letter, we present a method for unsupervised change detection based on the cross-sharpening of multitemporal images and image segmentation. Our method effectively reduces the change detection errors caused by relief or spatial displacement between multitemporal images with different acquisition angles. A total of four cross-sharpened images, including two general pansharpened images, were generated. Then, two pairs of cross-sharpened images were analyzed using change detection indexes. The effectiveness of the proposed method compared with other unsupervised change detection methods is demonstrated through experimentation.
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