1 |
Dwyer, J. L., Roy, D. P., Sauer, B., Jenkerson, C. B., Zhang, H. K, and Lymburner, L., 2018. Analysis ready data: enabling analysis of the Landsat archive, Remote Sensing, 10(9): 1363.
|
2 |
Gehrke, S., Morin, K., Downey, M., Boehrer, N, and Fuchs, T., 2010. Semi-global matching: An alternative to LIDAR for DSM generation, Proc. of the 2010 Canadian Geomatics Conference and Symposium of Commission I, Vol. 2, p. 6.
|
3 |
Hirschmuller, H. and Scharstein, D. 2008. Evaluation of stereo matching costs on images with radiometric differences, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(9): 1582-1599.
DOI
|
4 |
Kim, H. G., Hwang, Y, and Rhee, S., 2019. Automatic Building Modeling Method Using Planar Analysis of Point Clouds from Unmanned Aerial Vehicles, Korean Journal of Remote Sensing, 35(6-1): 973-985 (in Korean with English abstract).
DOI
|
5 |
Shin, J. I., Yoon, W. S., Park, H. J., Oh, K. Y, and Kim, T. J., 2018. A Method to Improve Matching Success Rate between KOMPSAT-3A Imagery and Aerial Ortho-Images, Korean Journal of Remote Sensing, 34(6-1): 893-903 (in Korean with English abstract).
DOI
|
6 |
Rhee, S. and T. Kim, 2016. Dense 3D Point Cloud Generation from UAV Images from Image Matching and Global Optimization, Proc. of 2016 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Prague, Czech Republic, Jul. 12-19, pp. 1005-1009.
|