A Method to Improve Matching Success Rate between KOMPSAT-3A Imagery and Aerial Ortho-Images |
Shin, Jung-Il
(Research Center of Geoinformatic Engineering, Inha University)
Yoon, Wan-Sang (Research Center of Geoinformatic Engineering, Inha University) Park, Hyeong-Jun (Research Center of Geoinformatic Engineering, Inha University) Oh, Kwan-Young (Satellite Application Center, Korea Aerospace Research Institute) Kim, Tae-Jung (Research Center of Geoinformatic Engineering, Inha University) |
1 | Agrafiotis, P., A. Georgopoulos, and K. Karantzalos, 2016. The effect of pansharpening algorithms on the resulting orthoimagery, Proc. of 2016 XXIII ISPRS Congress, Commission VII, Prague, Jul. 12-19, vol. XLI-B7, pp. 625-630. |
2 | Erdenebaatar, N., J. Kim, and T. Kim, 2017. Analysis of geometric and spatial image quality of KOMPSAT-3A imagery in comparison with KOMPSAT-3 imagery, Korean Journal of Remote Sensing, 33(1): 1-13. DOI |
3 | Han, Y., 2013. Automatic Image-to-Image Registration between High-Resolution Multisensory Satellite Data in Urban Area, Ph. D. dissertation, Seoul National University, Seoul, Republic of Korea (in Korean with English abstract). |
4 | Jeong, J., 2015. Comparison of single-sensor stereo model and dual-sensor stereo model with highresolution satellite imagery, Korean Journal of Remote Sensing, 31(5): 421-432 (in Korean with English abstract). DOI |
5 | Kang, M. and Y. Lim, 2015. A Study on the Application Demand of Satellite-based Information to Support National Land Polices, Korea Research Institute for Human Settlements, Anyang, Republic of Korea (in Korean with English abstract). |
6 | Kartal, H., U. Alganci, and E. Sertel, 2018. Automated orthorectification of VHR satellite images by SIFT-based RPC refinement, International Journal of Geo-Information, 7(229): 1-18. |
7 | Kim, T. and Y. Im, 2003. Automatic satellite image registration by combination of Stereo matching and random sample consensus, IEEE Transactions on Geoscience and Remote Sensing, 41(5): 1111-1117. DOI |
8 | Lee, C. and J. Oh, 2014. LiDAR chip for automated geo-referencing of high-resolution satellite imagery, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 32(4-1): 319-326 (in Korean with English abstract). DOI |
9 | Maes, F., A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, 1997. Multimodality image registration by maximization of mutual information, IEEE Transactions on Medical Imaging, 16(2): 187-198. DOI |
10 | Oh, K., 2017. Efficient pansharpening and autocalibration methods of high spatial satellite images: application to KOMPSAT images, Ph. D. dissertation, University of Seoul, Seoul, Republic of Korea (in Korean with English abstract). |
11 | Seo, D., J. Oh, C. Lee, D. Lee, and H. Choi, 2016. Geometric calibration and validation of Kompsat-3A AEISS-A camera, Sensors, 17(1776): 1-14. DOI |
12 | Stefano, L., S. Mattoccia, and F. Tombari, 2005. ZNCC-based template matching using bounded partial correlation, Pattern Recognition Letters, 26(14): 2129-2134. DOI |
13 | Sun, C., 1997. A fast stereo matching method, Proc. of Digital Image Computing: Techniques and Applications, Auckland, Dec. 10-12, pp. 95-100. |
14 | Yoon, W. and T. Kim, 2018. Bundle adjustment of KOMPSAT-3A strip based on rational function model, Korean Journal of Remote Sensing, 34(3): 565-578 (in Korean with English abstract). DOI |
15 | Zitova, B. and J. Flusser, 2003. Image registration methods: A survey, Image and Vision Computing, 21(11): 97-100. |
16 | SI Imaging Services, 2018. KOMPSAT Imagery Quality Report - KOMPSAT-2, 3, 3A (April, May 2018), http://www.si-imaging.com/resources/?mod=document&uid=286, Accessed on Oct. 20, 2018. |
17 | Korea Aerospace Research Institute, 2016. Korea Multi-Purpose Satellite (KOMPSAT, Arirang), https://www.kari.re.kr/eng/sub03_02_01.do, Accessed on Oct. 20, 2018. |
18 | National Geographic Information Institute, 2018. Glossary of Geo-spatial Information, http://www.ngii.go.kr/kor/board/view.do?rbsIdx=31&sCate=1&idx=666, Accessed on Oct. 20, 2018. |