Acknowledgement
이 논문은 항공우주연구원의 "고해상도 다중분광 영상자료의 지형효과 보정 알고리즘개발" 과제로부터 지원받아 수행하였으며, 2020년도 정부(교육부)의 제원으로 한국연구재단의 지원을 받아 수행되었음(NRF-2020R1I1A3A04037483).
References
- Dial, G. and Grodecki, J. (2005), RPC replacement camera models, In Proceeding of ASPRS Annual Conference, Baltimore, Maryland, USA, pp. 7-11.
- Franch, B., Vermote, E., Skakun, S., Roger, J.C., Masek, J., Ju, J., Villaescusa-Nadal, J.L., and Santamaria-Artigas, A. (2019), A method for Landsat and SEntinel 2 (HLS) BRDF normalization. Remote Sensing, Vol. 11, No. 6, p.632. https://doi.org/10.3390/rs11060632
- Jung, D., Jin, D., Seong, N., Lee, K., Seo, M., Choi, S,. Sim, S., Han, K., and Kim, B. (2020), Sensitivity analysis of surface reflectance retrieved from 6SV LUT for each channel of KOMPSAT-3/3A. Korean Journal of Remote Sensing, Vol. 36, No. 5-1, pp.785-791. (in Korean with English abstract)
- Lee, K. and Kim, K. (2019), An Experiment for surface reflectance image generation of KOMPSAT 3A image Data by Open Source Implementation. Korean Journal of Remote Sensing, Vol. 35, No. 6-4, pp.1327-1339. (in Korean with English abstract)
- Park, S. and Jung, H. (2019), Band-based best model selection for topographic normalization of normalized difference vegetation index map. IEEE Access, Vol. 8, pp.4408-4417. https://doi.org/10.1109/access.2019.2963137
- Reda, I. and Andreas, A. (2004), Solar position algorithm for solar radiation applications, Solar Energy, Vol. 76, No. 5, pp.577-589. https://doi.org/10.1016/j.solener.2003.12.003
- USGS. (2021), Solar illumination and sensor viewing angle coefficient files, https://www.usgs.gov/core-sciencesystems/nli/landsat/solar-illumination-and-sensorviewing-angle-coefficient-files?qt-science_support_page_related_con=1#qt-science_support_page_related_con.
- Wu, J., Wang, D., and Bauer, M.E. (2005), Image-based atmospheric correction of QuickBird imageery of Minnesota cropland. Remote Sensing of Enviroment, Vol. 99, pp.315-325. https://doi.org/10.1016/j.rse.2005.09.006
- Xu, K., Zhang, G., Zhang, Q., and Li, D. (2018), Calculating viewing angles pixel by pixel in optical remote sensing satellite imagery using the Rational Function Model, Remote Sensing, Vol. 10, No. 3, p.478. https://doi.org/10.3390/rs10030478