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1 Ye, C., 2014, Image registration using outlier removal and triangulation-based local transformation, Korean Journal of Remote Sensing, Vol. 30, No. 6, pp. 787-795./   DOI View Article
2 Kim, T.W., Shin H.S., and Seo, Y.C. (2014). "Airborne Hyperspectral Imagery availability to estimate inland water quality parameter." Korean Journal of Remote Sensing, Vol. 30, No. 1, pp. 61-73./   KOI   DOI View Article
3 이정빈 외 4명, "위성영상을 활용한 작황모니터링 시스템의 사례분석 연구", 대한원격탐사학회지, 제 30권 5호, pp. 641-650, 2014./   DOI View Article
4 Kim, Y., N.W. Park, S.Y. Hong, K.D. Lee and H.Y. Yoo. 2014. Early production of large-area crop classification map using time-series vegetation index and past crop cultivation patterns - a case study in Iowa State, USA-. Korean Journal of Remote Sensing 30(4):493-503 (김예슬,박노욱, 홍석영, 이경도, 유희영. 2014. 시계열 식생지수와 과거 작물 재배 패턴을 이용한 대규모 작물 분류도의 조기 제작 -미국아이오와 주 사례연구-. 대한원격탐사학회지 30(4):493-503)./   DOI View Article
5 Jung, J.H., K.H. Uen, J. Heo, K.M. Kim and J.H. Im. 2014. Aboveground forest biomass estimation using satellite images - comparison and analysis of k-nearest neighbor method and regression tree analysis method. Korean Journal of Remote Sensing 30(5):651-654 (정재훈, 우엔 콩 효, 허 준, 김경민, 임정호. 2014. 위성영상을 활용한 지상부 산림바이오매스 탄소량 추정-k- Nearest Neighbor 및 Regression Tree Analysis 방법의 비교 분석. 대한원격탐사학회지 30(5):651-654)./   DOI View Article
6 Kim, T.W., G.J. We and Y.C. Suh. 2014. Airborne hyperspectral imagery availability to estimate inland water quality parameter. Korean Journal of Remote Sensing 30(1):61-73 (김태우, 신한섭, 서용철. 2014. 수질 매개변수 추정에 있어서 항공 초분광영상의 가용성 고찰. 대한원격탐 사학회지 30(1):61-73)./   DOI   Ndsl View Article
7 Jang, S.W., D.H. Kim, Y.H. Chung and H.J. Yoon. 2014. Behavior characteristics of floating debris spilled from the Nakdong river. Korean Journal of Remote Sensing 30(1):127-136 (장선웅, 김대현, 정용현, 윤홍주. 2014. 낙동강 유출 부유쓰레기의 거동 특성. 대한원격탐사학회지 30(1):127-136)./   DOI   Ndsl View Article
8 I. Lim, S. Kim, J. Choi, "Detection Method of Objects with a Special Pattern in Satellite Images using Histogram of Gradients(HOG) Feature and Support Vectior Machine(SVM) Classifier," Korean Journal of Remote Sensing, Vol. 30, No. 4, pp. 537-546, 2014./   DOI View Article
9 Cho, Y.-J., and T.-Y. Kwon, 2014: Cloud-cell tracking analysis using satellite image of extreme heavy snowfall in the Yeongdong region. Korean J. Remote Sens., 30, 83-107./   DOI View Article
10 Kwon, A. R., and J.-J. Kim, 2014: Improvement of building-construction algorithm for using GIS data and analysis of flow and dispersion around buildings. Korean J. Remote Sens., 30, 731-742./   DOI View Article