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NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.38 no.1, 2020년, pp.23 - 33
최석근 (Dept. of Civil Engineering, Chungbuk National University) , 이승기 (Terrapix) , 강연빈 (Dept. of Civil Engineering, Chungbuk National University) , 성선경 (Dept. of Civil Engineering, Chungbuk National University) , 최도연 (Terrapix) , 김광호 (Dept. of Civil Engineering, Chungbuk National University)
Recently, high-resolution images can be easily acquired using UAV (Unmanned Aerial Vehicle), so that it is possible to produce small area observation and spatial information at low cost. In particular, research on the generation of cover maps in crop production areas is being actively conducted for ...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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SVM, RF 등의 기계학습 알고리즘은 기존의 방법에 비하여 어떠한 장점과 한계점이 있는가? | 기존의 분류기법으로는 SVM, RF 등의 기계학습 알고리즘이 적용·연구되고 기존의 방법에 비하여 높은 정확도를 확보하고 있지만 상대적으로 무감독 분류에 비하여 제작 및 갱신에 많은 시간과 비용이 요구되는 한계가 있다(Kwak et al., 2017;Onojeghuo et al. | |
위성영상을 이용한 피복분류의 장점은 무엇인가? | 특히, 농업환경 모니터링을 위하여 작물생산 지역의 피복지도 생성에 대한 연구가 활발히 진행되고 있으며, 랜덤 포레스트와 SVM (Support Vector Machine) 및 CNN(Convolutional Neural Network) 을 적용하여 분류 성능을 비교한 결과 영상분류에서 딥러닝 적용에 대하여 활용도가 높은 것으로 나타났다. 특히, 위성영상을 이용한 피복분류는 위성영상 데이터 셋과 선행 파라메터를 사용하여 피복분류의 정확도와 시간에 대한 장점을 가지고 있다. 하지만, 무인항공기 영상은 위성영상과 공간해상도와 같은 특성이 달라 이를 적용하기에는 어려움이 있다. | |
UAV를 통해 취득된 영상을 이용한 토지 피복분류는 어떠한 장점으로 인해 다양한 연구가 수행되고 있는가? | 최근 UAV (Unmanned Aerial Vehicle)를 이용한 고해상도 영상취득이 편리하게 되면서 소규모지역의 정확한 공간정보 제작이 가능하게 되었다. 이렇게 취득된 영상을 이용한 토지 피복분류는 최신의 공간정보를 저비용으로 제작할 수 있는 장점이 있어 이에 대한 다양한 연구가 수행되고 있다. |
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