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A Fast Algorithm for Target Detection in High Spatial Resolution Imagery
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  • A Fast Algorithm for Target Detection in High Spatial Resolution Imagery
  • A Fast Algorithm for Target Detection in High Spatial Resolution Imagery
저자명
Kim. Kwang-Eun
간행물명
大韓遠隔探査學會誌
권/호정보
2006년|22권 1호|pp.41-47 (7 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

Detection and identification of targets from remotely sensed imagery are of great interest for civilian and military application. This paper presents an algorithm for target detection in high spatial resolution imagery based on the spectral and the dimensional characteristics of the reference target. In this algorithm, the spectral and the dimensional information of the reference target is extracted automatically from the sample image of the reference target. Then in the entire image, the candidate target pixels are extracted based on the spectral characteristics of the reference target. Finally, groups of candidate pixels which form isolated spatial objects of similar size to that of the reference target are extracted as detected targets. The experimental test results showed that even though the algorithm detected spatial objects which has different shape as targets if the spectral and the dimensional characteristics are similar to that of the reference target, it could detect 97.5% of the targets in the image. Using hyperspectral image and utilizing the shape information are expected to increase the performance of the proposed algorithm.