Paper
31 October 1997 Atmospheric corrections: on deriving surface reflectance from hyperspectral imagers
Alexander F. H. Goetz, Joseph W. Boardman, Bruce C. Kindel, Kathleen B. Heidebrecht
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Abstract
Over the last decade a series of techniques has been developed to correct hyperspectral imaging sensed at to apparent surface reflectance. The techniques range from the empirical line method that makes use of ground target measurements to model-based methods such as the atmospheric removal program and MODTRAN that derive parameters from the data themselves to convert radiance to reflectance. Hybrid methods have been developed to augment the model calculations to provide better quality reflectance data. The model methods are computing intensive and,therefore, there is interest in developing more rapid methods to correct the data to reflectance. A parametric technique described here is in the early stages of development and could provide a breakthrough in speed of correction.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander F. H. Goetz, Joseph W. Boardman, Bruce C. Kindel, and Kathleen B. Heidebrecht "Atmospheric corrections: on deriving surface reflectance from hyperspectral imagers", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.283831
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Cited by 34 scholarly publications.
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KEYWORDS
Reflectivity

Data modeling

Atmospheric modeling

Scattering

Absorption

Atmospheric corrections

Calibration

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