Atmospheric correction for two classes of hyperspectral imaging sensors

Zheng Qu; Bruce C. Kindel; Alexander F. H. Goetz

doi:10.1117/12.478739

2 August 2002 Atmospheric correction for two classes of hyperspectral imaging sensors

Zheng Qu, Bruce C. Kindel, Alexander F. H. Goetz

Proceedings Volume 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII; (2002) https://doi.org/10.1117/12.478739
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The High-accuracy Atmosphere Correction for Hyperspectral Data (HATCH) algorithm retrieves surface reflectance from imaging spectrometer data in the 350-2500nm wavelength region with resolutions of 5nm or greater. A key feature of HATCH is that it derives calibration for the sensor spectral response functions (band centers and FWHMs) from the data themselves. This is approached by utilizing known atmospheric absorption features (e.g. water vapor and oxygen bands) and the application of a new technique dubbed the

Citation Download Citation

Zheng Qu, Bruce C. Kindel, and Alexander F. H. Goetz "Atmospheric correction for two classes of hyperspectral imaging sensors", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478739

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