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Image Registration for Cloudy KOMPSAT-2 Imagery Using Disparity Clustering
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  • Image Registration for Cloudy KOMPSAT-2 Imagery Using Disparity Clustering
  • Image Registration for Cloudy KOMPSAT-2 Imagery Using Disparity Clustering
저자명
Kim. Tae-Young,Choi. Myung-Jin
간행물명
大韓遠隔探査學會誌
권/호정보
2009년|25권 3호|pp.287-294 (8 pages)
발행정보
대한원격탐사학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

KOMPSAT-2 like other high-resolution satellites has the time and angle difference in the acquisition of the panchromatic (PAN) and multispectral (MS) images because the imaging systems have the offset of the charge coupled device combination in the focal plane. Due to the differences, high altitude and moving objects, such as clouds, have a different position between the PAN and MS images. Therefore, a mis-registration between the PAN and MS images occurs when a registration algorithm extracted matching points from these cloud objects. To overcome this problem, we proposed a new registration method. The main idea is to discard the matching points extracted from cloud boundaries by using an automatic thresholding technique and a classification technique on a distance disparity map of the matching points. The experimental result demonstrates the accuracy of the proposed method at ground region around cloud objects is higher than a general method which does not consider cloud objects. To evaluate the proposed method, we use KOMPSAT-2 cloudy images.