다종 영상을 이용한 건설현장 훼손 표토의 체적 및 지질특성에 대한 분광정보 분석 기술

  • 이소진 (주식회사 자연과기술) ;
  • 김종태 (주식회사 자연과기술) ;
  • 정교철 (안동대학교 지구환경과학과)
  • Published : 2022.03.01

Abstract

Keywords

References

  1. Arriaga, F.J., Lowery, B., 2005, Spatial distribution of carbon over an eroded landscape in southwest Wisconsin, Soli and Tillage Research, 81(2), 155-162. https://doi.org/10.1016/j.still.2004.09.004
  2. Goetz, A.F.H., 1991, Imaging spectrometry for studying earth, air, fire and water, EARSeL, Advances in Remote Sensing, 1(1), 3-15.
  3. Kim, J.C., Yoon, J.D., Park, J.S., Choi, J.Y., Yoon, J.H., 2018, Utilizing the revised universal soil loss equation technique comparative analysis of soil erosion risk in the geumhogang riparian area, Korean journal of remote sensing, 34(2-1), 179-190. https://doi.org/10.7780/KJRS.2018.34.2.1.2
  4. Lee, S.J., Jeong, G.C., Kim, J.T., 2021, Analysis and comparison of rock spectroscopic information using drone-based hyperspectral sensor, The journal of engineering geology, 31(4), 479-492. https://doi.org/10.9720/KSEG.2021.4.479
  5. Nagai, M., Chen, T., Ahmed, A., Shibasaki, R., 2008, UAV borne mapping by multi sensor Integration, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing 2008, Vol. XXXVII. Part B1.
  6. Park, E.J., Kang, K.Y., 2009, Comparative analyses for the properties of surface soils from various land uses in an urban watershed and Implication for soli conservation, J. Korean Env. Res. Tech., 12(3), 106-115.
  7. Rasti, B., Scheunders, P., Ghamisi, P., Licciardi, G., Chanussot, J., 2018, Noise Reduction in Hyperspectral lmagery: Overview and Application, Remote Sensing, 3, 482.
  8. Shaw, G.A., Burke, H.K., 2003, Spectral Imaging for remote sensing, Lincoln Laboratory Journal, 14(1), 3-28.
  9. Van der Meer, F., 2003, Bayesian inversion of imaging spectrometer data using a fuzzy geological outcrop model, International Journal of Remote Sensing, 24(22), 4301-4310.. https://doi.org/10.1080/0143116021000047929