Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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KOMPSAT Image Processing and Applications

다목적실용위성 영상처리 및 활용

  • Lee, Kwangjae (National Satellite Operation and Application Center, Korea Aerospace Research Institute) ;
  • Kim, Younsoo (National Satellite Operation and Application Center, Korea Aerospace Research Institute) ;
  • Choi, Haejin (National Satellite Operation and Application Center, Korea Aerospace Research Institute)
  • 이광재 (한국항공우주연구원 국가위성정보활용지원센터) ;
  • 김윤수 (한국항공우주연구원 국가위성정보활용지원센터) ;
  • 최해진 (한국항공우주연구원 국가위성정보활용지원센터)
  • Received : 2017.12.11
  • Accepted : 2017.12.14
  • Published : 2017.12.31
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Abstract

This special issue introduces recent researches on KOMPSAT(KOrea Multi-Purpose SATellite) image processing and applications. In this paper, the status of KOMPSAT development and national satellite image application policy are introduced and the implications of the papers presented in the special issue are discussed. Satellite image resources and application policy that can be utilized through continuous satellite development are considered to be systematically prepared. Therefore, if data processing and application technology development for various fields such as forest and urban change detection, image correction technology introduced in this paper are continuously carried out, it is expected that the competitiveness of national satellite image will be further strengthened.

본 특별호는 최근 수행되고 있는 다목적실용위성 영상처리 및 활용연구에 대해서 소개하고 있으며, 사설에서는 다목적실용위성 개발 현황과 국가 위성영상 활용정책을 살펴보고 특별호에 소개된 논문의 의의에 대해서 논하였다. 지속적인 위성개발을 통해 활용 가능한 위성영상 자원과 활용정책은 체계적으로 마련되어 있는 것으로 판단된다. 따라서 본 사설에서 소개된 산림 및 도시 변화탐지, 영상보정 기술 등과 같이 다양한 자료처리 및 활용기술 개발이 지속적으로 이루어진다면 국가 위성영상의 활용 경쟁력은 더욱 강화될 것으로 기대된다.

Keywords

References

  1. Barbosa, C.C.A., P.M. Atkinson, and J.A. Dearing, 2015. Remote sensing of ecosystem services: a systematic review, Ecological Indicators, 52: 430-443. https://doi.org/10.1016/j.ecolind.2015.01.007
  2. Choi, J., H. Park, N. Park, S. Han, and J. Song, 2017. Deforestation analysis using unsupervised change detection based on ITPCS, Korean Journal of Remote Sensing, 33(6-3): 1233-1242 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.7
  3. Cuomo, V., R. Lasaponara, and V. Tramutoli, 2010. Evaluation of a new satellite-based method for forest fire detection, International Journal of Remote Sensing, 22(9): 1799-1826. https://doi.org/10.1080/01431160120827
  4. Giglio, L., J. Descloitres, C.O. Justice, and Y.J. Kaufman, 2003. An enhanced contextual fire detection algorithm for MODIS, Remote Sensing of Environment, 87(2-3): 273-282. https://doi.org/10.1016/S0034-4257(03)00184-6
  5. Han, D., J. Song, and Y. Byun, 2017. Change detection comparison of multitemporal infrared satellite imagery using relative radiometric normalization, Korean Journal of Remote Sensing, 33(6-3): 1179-1185 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.2
  6. Han, H., S.H. Hong, H.C. Kim, T.B. Chae, and H. J. Choi, 2017. A study of the feasibility of using KOMPSAT-5 SAR data to map sea ice in the Chukchi Sea in late summer, Remote Sensing Letters, 8(5): 468-477. https://doi.org/10.1080/2150704X.2017.1285501
  7. Han Y., T. Kim, S. Han, and J. Song, 2017. Change detection of urban development over large area using KOMPSAT optical imagery, Korean Journal of Remote Sensing, 33(6-3): 1223-1232 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.6
  8. Hansen, M.C., D.P. Roy, E. Lindquist, B. Adusei, C.O. Justice, and A. Altstatt, 2008. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin, Remote Sensing of Environment, 112(5): 2495-2513. https://doi.org/10.1016/j.rse.2007.11.012
  9. Huang, X., D. Wen, J. Li, and R. Qin, 2017. Multilevel monitoring of subtle urban changes for the megacities of Chinausing high-resolution multiview satellite imagery, Remote Sensing of Environment, 196; 56-75. https://doi.org/10.1016/j.rse.2017.05.001
  10. Jeong, S. and Y. Kim, 2000. Three dimensional positioning accuracy of KOMPSAT-1 stereo imagery, Journal of the Korea Society of Remote Sensing, 16(4): 339-345.
  11. Klaric, M.N., B.C. Claywell, G.J. Scott, N.J. Hudson, O. Sjahputera, Y. Li, S.T. Barratt, J.M. Keller, and C.H. Davis, 2013. GeoCDX: an automated change detection and exploitation system for highresolution satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, 51(4): 2067-2086. https://doi.org/10.1109/TGRS.2013.2243840
  12. Konarska, K.M., P.C. Sutton, and M. Castellon, 2002. Evaluating scale dependence of ecosystem service valuation; a comparison of NOAA-AVHRR and Landsat TM datasets, Ecological Economics, 41(3): 491-507. https://doi.org/10.1016/S0921-8009(02)00096-4
  13. Lee, H., 2017. Application of kompsat-5 SAR interferometry by using SNAP software, Korean Journal of Remote Sensing, 33(6-3): 1215-1221 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.5
  14. Lee, H.J., J.H. You, and Y.C. Koh, 2009a. Analysis for practical use as KOMPSAT-2 imagery for product of geo-spatial information, Journal of the Korean Society for Geospatial Information System, 17(1): 21-35 (in Korean with English abstract).
  15. Lee, H.J., J.H. You, and Y.G. Yu, 2010. Extracting high quality thematic information by using highresolution satellite imagery, Journal of the Korean Society for Geospatial Information System, 18(1): 73-81 (in Korean with English abstract).
  16. Lee, H.S., B.W. Park, and K.W. Ahn, 2017. Accuracy improvement of KOMPSAT-3 DEM using previous DEMs without ground control points, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 35(4): 241-248. https://doi.org/10.7848/KSGPC.2017.35.4.241
  17. Lee, K.J., Y.S. Kim, and H.D. Seo, 2012. A feasibility study for mapping using the KOMPSAT-2 stereo imagery, Journal of the Korean Association of Geographic Information Studies, 15(1): 197-210 (in Korean with English abstract). https://doi.org/10.11108/kagis.2012.15.1.197
  18. Lee, M.S., S.J. Kim, H.S. Shin, J.K. Park, and J.H. Park, 2009b. Extraction of agricultural land use and crop growth information using KOMPSAT- 3 resolution satellite image, Korean Journal of Remote Sensing, 25(5): 411-421 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2009.25.5.411
  19. Li, F., Y.P. Ye, B.W. Song, R.S. Wang, and Y. Tao, 2014. Assessing the changes in land use and ecosystem services in Changzhou municipality, People's Republic of China, 1991-2006, Ecological Indicators, 42: 95-103. https://doi.org/10.1016/j.ecolind.2013.11.012
  20. Moon, J. and Y. Kim, 2017. Comparison of the estimated result of ecosystem service value using pixel-based and object-based analysis, Korean Journal of Remote Sensing, 33(6-3): 1187-1196 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.3
  21. Oh, J.H., C.N. Lee, and D.C. Seo, 2013. Automated HRSI georegistration using orthoimage and SRTM: Focusing KOMPSAT imagery, Computers & Geosciences, 52: 77-84. https://doi.org/10.1016/j.cageo.2012.09.026
  22. Oh, J.H. and C.N. Lee, 2017. Accuracy assessment of topographic volume estimation using kompsat-3 and 3-A stereo data, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 35(4): 261-267. https://doi.org/10.7848/KSGPC.2017.35.4.261
  23. Park, S.E., 2016. Detection of water bodies from kompsat-5 SAR data, Korean Journal of Remote Sensing, 32(5): 539-550 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2016.32.5.11
  24. Park, S.H., G.S. Lee, and H.S. Jung, 2017. Shadow detection and correction method for urban area using KOMPSAT-3 image, Korean Journal of Remote Sensing, 33(6-3): 1197-1213 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.3.4
  25. Song, J.H. and J.H. Oh, 2014. Epipolar resampling from Kompsat-2 and Kompsat-3, Journal of the Korean Association of Geographic Information Studies, 17(4): 156-166 (in Korean with English abstract). https://doi.org/10.11108/kagis.2014.17.4.156
  26. Tian, J., S.Cui, and P. Reinartz, 2014. Building change detection based on satellite stereo imagery and digital surface models, IEEE Transactions on Geoscience and Remote Sensing, 52(1): 406-417. https://doi.org/10.1109/TGRS.2013.2240692
  27. Zhang, X., S. Kondragunta, and B. Quayle, 2011. Estimation of biomass burned areas using multiple-satellite-observed active fires, IEEE Transactions on Geoscience and Remote Sensing, 49(11): 4469-4482. https://doi.org/10.1109/TGRS.2011.2149535