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NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.37 no.3, 2019년, pp.199 - 208
송아람 (Dept. of Civil and Environmental Engineering, Seoul National University) , 최재완 (School of Civil Engineering, Chungbuk National University) , 김용일 (Dept. of Civil and Environmental Engineering, Seoul National University)
As the number of available satellites increases and technology advances, image information outputs are becoming increasingly diverse and a large amount of data is accumulating. In this study, we propose a change detection method for high-resolution satellite images that uses transfer learning and a ...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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고해상도 영상의 변화탐지 기법 중 객체기반 변화탐지의 특징은 무엇인가? | 그러나 객체기반 변화탐지의 경우 유의미하지만 작은 객체를 고려하지 못할 가능성이 있고 객체의 크기를 결정하는 최적의 스케일 파라미터(scale parameter)들이 영상에 따라 달라질 수 있기 때문에 다시기 영상에서 일관된 크기의 객체를 추출하기 어렵다. 또한 객체 분할 과정에서 과분할 오류(oversegmentation error) 및 미분할 오류(under-segmentation error)가 발생할 수 있다(Hussian et al., 2013). | |
변화탐지란 무엇인가? | 변화탐지는 원격탐사의 주요 연구 분야이며, 서로 다른 시기에 취득된 영상을 이용하여 동일한 지역에서 발생한 공간 및 분광 변화를 분석하여 자연재해로 인한 피해지역 검출, 식생 및 도심지 모니터링 등에 활용되는 기술이다(Han et al., 2017; Yu et al. | |
CNN의 단점은 무엇인가? | , 2019). 그러나 CNN은 구조 내에서 시계열 정보를 처리할 수 없기 때문에 end-to-end 방식, 즉 자료변환 및 후 분류 작업과 같은 전·후처리를 수행하지 않고 네트워크의 학습만으로 변화를 추출할 수 없다는 단점이 있다. |
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