The comparison of pixel size and atmospheric correction method on matched filter detection for a hyperspectral image

Two atmospheric correction methods are used to obtain the reflectance for a hyperspectral data image resampled to varying spatial resolution. The physics-based FLAASH approach as well as the in-scene based QUAC method retrieve the reflectance spectra for the scene, and the ability to use the results...

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Bibliographic Details
Main Authors: Conforti, P.F., Sundberg, R.L.
Format: Conference Proceeding
Language:English
Subjects:
atmospheric
compensation
correction
Equations
FLAASH
hyperspectral
Hyperspectral imaging
Hyperspectral sensors
Image retrieval
Image sampling
Layout
Matched filters
MODTRAN4
multispectral
Pixel
QUAC
Reflectivity
Spatial resolution
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Description
Summary:Two atmospheric correction methods are used to obtain the reflectance for a hyperspectral data image resampled to varying spatial resolution. The physics-based FLAASH approach as well as the in-scene based QUAC method retrieve the reflectance spectra for the scene, and the ability to use the results to detect materials of interest in the image is determined. Using a spectral matched filter to score the results, both FLAASH and QUAC perform well at matching the ground truth spectrum of a bright meter-sized material at ground sampling distances of 2.4-24 m. For a dark material, QUAC performance degrades with lower resolutions.
ISSN:2158-6268
2158-6276
DOI:10.1109/WHISPERS.2009.5289000