1 김대성, "홍수매핑을 위한 레이더 영상 필터의 비교분석" 한국측량학회 34 (34): 43-52, 2016
2 이성규, "항공 라이다 데이터로부터 데이터마이닝 도구 WEKA를 이용한 지형 분류기 제작 지원 시스템" 한국측량학회 28 (28): 133-142, 2010
3 박석곤, "편백림의 식생구조 특성 분석" 한국환경생태학회 29 (29): 907-916, 2015
4 Huang, C., "Use of a dark object concept and support vector machines to automate forest cover change analysis" 112 (112): 970-985, 2008
5 Kang, H. Y., "The Estatimate of Image Classification Accuracy Using Artificial Neural Networks" 2000 (2000): 585-588, 2000
6 Kim, E. S., "The Change of Korean National Forest Inventory System (1971-2010)" Korea Forest Institute 2015
7 Murai, H., "Studies on function of water and soil conservation based on forest land part 1 influence of difference in forest condition upon water runoff infiltration and soil erosion" 274 : 23-84, 1975
8 Hwang, J. I., "Ship detection from single and dual polarized X-band SAR images using machine learning techniques" Seoul National University, 2018
9 McClelland, J. L., "Parallel distributed processing: explorations in the microstructure of cognition. Volume 1. Foundations" 1986
10 Teillet, P. M., "On the Slope-Aspect Correction of Multispectral Scanner Data" 8 (8): 84-106, 1982
1 김대성, "홍수매핑을 위한 레이더 영상 필터의 비교분석" 한국측량학회 34 (34): 43-52, 2016
2 이성규, "항공 라이다 데이터로부터 데이터마이닝 도구 WEKA를 이용한 지형 분류기 제작 지원 시스템" 한국측량학회 28 (28): 133-142, 2010
3 박석곤, "편백림의 식생구조 특성 분석" 한국환경생태학회 29 (29): 907-916, 2015
4 Huang, C., "Use of a dark object concept and support vector machines to automate forest cover change analysis" 112 (112): 970-985, 2008
5 Kang, H. Y., "The Estatimate of Image Classification Accuracy Using Artificial Neural Networks" 2000 (2000): 585-588, 2000
6 Kim, E. S., "The Change of Korean National Forest Inventory System (1971-2010)" Korea Forest Institute 2015
7 Murai, H., "Studies on function of water and soil conservation based on forest land part 1 influence of difference in forest condition upon water runoff infiltration and soil erosion" 274 : 23-84, 1975
8 Hwang, J. I., "Ship detection from single and dual polarized X-band SAR images using machine learning techniques" Seoul National University, 2018
9 McClelland, J. L., "Parallel distributed processing: explorations in the microstructure of cognition. Volume 1. Foundations" 1986
10 Teillet, P. M., "On the Slope-Aspect Correction of Multispectral Scanner Data" 8 (8): 84-106, 1982
11 KIM, D. S., "Oil spill detection from dual-polarized SAR images using artificial neural network" Seoul National University 2017
12 Manqi, L., "Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest" 50 (50): 361-384, 2013
13 Herrmann, I., "LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands" 115 : 2141-2151, 2010
14 Solaris, "History of Deep Learning - From Perceptron to GAN (Generative Adversarial Networks) - 1/2"
15 Kim, S. H., "Guide Book for the Sixth Korean National Forest Inventory and Fieldwork for Forest Health and Vitality" Korea Forest Institute 2011
16 Markus, I., "First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe" 8 (8): 2016
17 Witten, I. h., "Data Mining: Practial Machine Learning Tools and Technique (2E)" Elsevier 2005
18 SlideServe, "Comparison of Grade and Vegetation Index of Evergreen Forest in Gangwon Province Using Forest Geographic Information System and Landsat Satellite Image"
19 Kwon, S. K., "Classification of Natural Forest/Artificial Forest from Sentinel-2 Images Using Artificial Neural Network" Seoul National University 2018
20 Kwon, S. K., "Classification of Forest Vertical Structrue in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network" 7 (7): 1046-, 2017
21 Hay, G. J., "An object-specific image-texture analysis of Hresolution forest imagery" 55 (55): 108-122, 1996
22 McCulloch, W. S, "A logical calculus of the ideas immanent in nervous activity" 5 (5): 115-113, 1943