Paper
23 August 2000 Modeling the spectral variability of ground irradiance functions
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Abstract
We analyze a set of 7,258 0.4-2.2 micron ground spectral irradiance functions measured on different days over a wide range of conditions. We show that a low-dimensional linear model can be used to capture the variability in these measurements. Using this linear model, we compare the data with a previous empirical study. We also examine the agreement of the data with spectra generated by MODTRAN 4.0. Using a database of 224 materials, we consider the implications of the observed spectral variability for hyperspectral material discrimination using subspace projection techniques.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhihong Pan, Glenn Healey, and David Slater "Modeling the spectral variability of ground irradiance functions", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); https://doi.org/10.1117/12.410378
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Databases

Atmospheric modeling

Spectral models

Error analysis

Reflectivity

Visible radiation

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