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1 Jo, H., Jang, Y., Lee, J., and Oh, J. (2021), Dense thermal 3D point cloud generation of building envelope by drone-based photogrammetry, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 2, pp. 73-79./   DOI View Article
2 Park, J. and Jung, K. (2021), Accuracy evaluation of earthwork volume calculation according to terrain model generation method, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 1, pp. 47-54. (in Korean with English abstract)/   DOI View Article
3 Yi, M.S. and Yeo, K.H. (2021), An analysis on the spatial pattern of local safety level index using spatial autocorrelation- focused on basic local governments, Korea, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 1, pp. 29-40. (in Korean with English abstract)/   DOI View Article
4 Choi, I.H. and Kim, E.M. (2021), Automatic construction of deep learning training data for high-definition road maps using mobile mapping system, The Journal of Korea Society of Surveying, Geodesy, Photogrammetry, and Cartography, Vol. 39, No. 3, pp. 133-139. (in Korean with English abstract)/   DOI View Article
5 Jeong, D.W. and Shin, D. B.,(2021), A Study on Development of 3D Data Model for Underground Facilities Using CityGML ADE, Journal of the Korean Society of Surveying-2021, Vol. 39, No. 4, pp. 245-252/ View Article
6 Jung, K.Y. and Park, J.K. (2021), Roughness Analysis of Paved Road using Drone LiDAR and Images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 1, pp. 55-63./   DOI View Article
7 Shin, Y.H., Sohn, K.W., Lim, S.B., and Lee, D.C. (2021), 3D Thermo-Spatial Modeling Using Drone Thermal Infrared Images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 4, pp. 223-233./   DOI View Article
8 Lee, J.B., Kim, H.J., Kim, J.H., and Wie, G.J. (2021), Water Depth and Riverbed Surveying Using Airborne Bathymetric LiDAR System-A Case Study at the Gokgyo River, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 4, pp. 235-243./   DOI View Article
9 Liang Han, and Seo, S.Y. (2021), Detection of zebra-crossing areas based on deep learning with combination of SegNet and ResNet, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 3, pp. 141-148. (in Korean with English abstract)/   DOI View Article
10 Mo, J.S., Seong, S.K., and Choi, J.W. (2021), Comparative evaluation of deep learning-based building extraction techniques using aerial images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 3, pp. 157-165. (in Korean with English abstract)/   DOI View Article
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