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1 Hong, S.P. and Kim, E.M. (2019), Comparison of point-based 3d transformation methods, Proceedings of Journal of Korean Society for Geospatial Information System, Korean Society for Geospatial Information Science, 31-1 May, Busan, Korea, pp. 19-22. (in Korean)/ View Article
2 Becker, R.H., Sayers, M., Dehm, D., Shuchman, R., Quintero, K., Bosse, K., and Sawtell, R. (2019), Unmanned aerial system based spectroradiometer for monitoring harmful algal blooms: A new paradigm in water quality monitoring, Journal of Great Lakes Research, Vol. 45, No. 3, pp. 444-453./   DOI View Article
3 Korea Meteorological Administration. (2019), Damage caused by tsunami in Korea, Korea Meteorological Administration,http://www.weather.go.kr/weather/earthquake_volcano/tidalwave_02.jsp#warn (last date accessed: 01 May 2019)./ View Article
4 Mou, L., Bruzzone, L., and Zhu, X.X. (2019), Learning spectral-spatial-temporal features via a recurrent convolutional neural network for change detection in multispectral imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 2, pp. 924-935./   DOI View Article
5 Song, A. (2019), A Novel Deep Learning Framework for Multi-Class Change Detection of Hyperspectral Images, Doctoral Thesis, Seoul National University, Seoul, Korea, 137p./ View Article
6 Tan, K., Zhang, Y., Wang, X., and Chen, Y. (2019), Object-based change detection using multiple classifiers and multi-scale uncertainty analysis, Remote Sensing, Vol. 11, No. 3, pp. 359./   DOI View Article
7 Zhang, C., Wei, S., Ji, S., and Lu, M. (2019), Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification, ISPRS International Journal of Geo-Information, Vol. 8, No. 4, pp. 189./   DOI View Article
8 Jeong, D.H. and Jeong, W.T. (2019), Prediction of rolling noise based on machine learning technique using rail surface roughness data, Journal of the Korean Society for Railway, Vol. 22. No. 3, pp. 209-217. (in Korean with English abstract)/   DOI View Article
9 Jo, W.H., Lim, Y.H., and Park, K.H. (2019), Deep learning based land cover classification using convolutional neural network: a case study of Korea. Journal of the Korean Geographical Society, Vol. 54, No. 1, pp. 1-16. (in Korean with English abstract)/ View Article
10 Jonsson, Sigurbjorn. (2019), RGB and multispectral UAV image classification of agricultural fields using a machine learning algorithm, Master's thesis, Lund University, Lund, Sweden, 88p./ View Article