Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Radiometric Corrections of Digital Remote Sensing Data

원격탐사자료의 放射값 補正

  • Published : 1994.06.01
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Abstract

Radiometric correction refers to variations in the data that are not caused by the object or scene being scanned. These variations can be caused by differing sensitivities of the detectors of the sensing system, malfunctioning detectors, or atmospheric interference. Radiometric corrections can be applied to correct for these variations, such as for differing sensitivities of detectors (causing striped image), for detectors (resulting in pixels with digital values of zero), or to correct for atmospheric bias due to scattering of radiation. This paper discussed and illustrated some of the important principles of the radiometric correction methods.

원격탐사자료의 픽셀값 변이 중 (위성에 의하여) 주사되는 물체 또는 전경등의 자체에 의한 것이 아닌 기타 변이에 대해서는 핏셀의 방사값을 보정하게 된다. 이러한 핏셀값 변이의 원 인에 대해서는 감지방치의 성능차이 및 작동불량, 또는 대기에 의한 간섭효과등을 들 수 있다. 감 지장치들의 성능차에 의하여(원치 않는) 줄이 그어진 화상자료를, 그리고 작동불량으로 값이 零 (영)인 픽셀들을 얻게 되며, 또한 빛의 산란에 기인하는 대기의 편기등이 발생하게 되는 데, 이러 한 변이들에 대하여는 그 방사값을 보정한다. 본고에서는 이러한 방사값 보정법으로 일부 주요원 칙에 대하여 예제와 함께 고찰하였다.

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References

  1. Remote Sensing of Environment v.31 Prelaunch Calibration of the NOAA-11 AVHRR Visible and Near IR Channels Abel,P.
  2. International Journal of Remote Sensing v.8 Review Article: Radiometric Correction of Visible and Infrared Remote Sensing Data at the Canada Centre for Remote Sensing Ahern,F.J.;R.J.Brown;J.Cihlar;R.Gauthier;J.Murphy;R.A.Neville;P.M.Teillet
  3. Fundamentals of Remote Sensing and Airphoto Interpretation(5th edition) Avery,T.E.;G.L.Berlin
  4. Introduction to Remote Sensing Campbell,J.B.
  5. International Journal of Remote Sensing v.10 An Alternative Simple Approach to Estimate Atmospheric Correction in Multitemporal Studies Caselles,V.;M.J.Lopez Garcia
  6. Remote Sensing of Environment v.24 An Improved Dark-Object Subtraction Technique for Atmospheric Scattering Correction of Multispectral Data Chavez,P.S.,Jr.
  7. Photogrammetric Engineering & Remote Sensing v.55 no.9 Radiometric Calibration of Landsat Thematic Mapper Multispectral Images Chavez,P.S.,Jr.
  8. Ph.D. Dissertation. University of Idaho Wetland Change Detection Using Landsat-5 Thematic Mapper Data in Jackson Hole, Wyoming Choung,S.H.
  9. Journal of Korean Forestry Society v.81 no.4 A Comparative Study of Wetland Change Detection Techniques Using Post-Classification Comparison and Image Differencing on Landsat-5 TM Data Choung,S.H.;J.J.Ulliman
  10. Photogrammetric Engineering & Remote Sensing v.61 A Multicomponent Approach in Digital Change Detection for Improving the Change/No-change Matrix Choung,S.H.;J.J.Ulliman;D.L.Verbyla
  11. Photogrammetric Engineering & Remote Sensing v.49 no.10 Signature Extension versus Retaining for Multispectral Classification of Surface Mines in Arid Regions Clark,J.R.;C.E.Glass;R.A.Schowengerdt
  12. Proceedings of the 18th International Symposium on Remote Sensing of Environment A Spectral Haze Diagnostic Feature for Normalizing Landsat Thematic Mapper Data Crist,E.P.
  13. Solar Energy v.21 no.5 Review Paper: Extensive Datasets of the Diffuse Radiation in Realistic Atmospheric Models with Aerosols and Common Absorbing Gases Dave,J.V.
  14. ERDAS Field Guide(2nd edition,Version7.5) Earth Resources Data Analysis System, Inc.
  15. International Journal of Remote Sensing v.5 Derivation of Atmospheric Correction Procedures for LANDSAT MSS with Particular Reference to Urban Data Forster,B.C.
  16. Remote Sensing of Environment v.35 no.1 Radiometric Rectification: Toward a Common Radiometric Response Among Multidate, Multisensor Images Hall,F.G.;D.E.Strebel;J.E.Nickeson;S.J.Goetz
  17. Introductory Digital Image Processing: A Remote Sensing Perspective Introductory Digital Image Processing: A Remote Sensing Perspective Jensen,J.R.
  18. IEEE Transactions on Geoscience and Remote Sensing v.26 no.4 Atmospheric Effect on Spectral Signature-Measurements and Corrections Kaufman,Y.J.
  19. Photogrammetric Engineering & Remote Sensing v.57 no.10 De-Hazing Landsat Thematic Mapper Images Lavreau,J.
  20. Remote Sensing and Image Interpretation(2nd edition) Lillesand,T.M.;R.W.Kiefer
  21. International Journal of Remote Sensing v.6 Spectral Characterization of the LANDSAT Thematic Mapper Sensors Markham,B.L.;J.L.Barker
  22. Proceedings of the International Geoscience and Remote Sensing Symposium v.1 Change Detection Analysis Using Lansat Imagery: A Review of Methodology Milne,A.K.
  23. Remote Sensing of Environment v.21 Calibration of Satellite Radiometers and the Comparison of Vegetation Indices Price,J.C.
  24. ISPRS Journal of Photogrammetry and Remote Sensing v.44 External Effects Correction of Landsat Thematic Mapper Data Rice,D.P.;J.B.Odenweller
  25. International Journal of Remote Sensing v.11 Remote Sensing of Temperate Coniferous Forest Leaf Area Index: The Influence of Canopy Closure, Understory Vegetation and Background Reflectance Spanner,M.A.;L.L.Pierce;D.L.Peterson;S.W.Running
  26. International Journal of Remote Sensing v.2 no.4 Technical Note-Description of a Computer Code to Simulate the Satellite Signal in the Solar Spectrum: the 5S Code Tanre,D.;C.Deroo;P.Duhaut;M.Herman;J.J.Morcrette;J.Perbos;P.Y.Deschamps