NDLI: A Review of Atmospheric Correction Techniques for Hyperspectral Remote Sensing of Land Surfaces and Ocean Color

Content Provider	IEEE Xplore Digital Library
Author	Bo Cai Gao Davis, C.O. Goetz, A.F.H.
Copyright Year	2006
Description	Author affiliation: Remote Sensing Div., Naval Res. Lab., Washington, DC (Bo Cai Gao)
Abstract	The concept of imaging spectrometry, or hyperspectral imaging, was originated from the NASA Jet Propulsion Laboratory in the early 1980s. Different types of imaging spectrometers have been built. Scientific data have been collected with these instruments from aircraft and satellite platforms. Because imaging spectrometer data contain absorption and scattering effects from atmospheric gases and aerosols, the atmospheric effects must be removed in order to use the data for quantitative remote sensing of land surfaces and ocean color. Over the years, the atmospheric correction algorithms have evolved from the earlier empirical line method and flat field method to more recent methods based on rigorous radiative transfer modeling. We will give an overview of hyperspectral atmospheric correction algorithms developed during the past two decades. Issues related to spectral smoothing will be discussed. Suggestions for improvements to the present atmospheric correction algorithms will be given.
Starting Page	1979
Ending Page	1981
File Size	115922
Page Count	3
File Format	PDF
ISBN	0780395107
DOI	10.1109/IGARSS.2006.512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hyperspectral sensors Remote sensing Land surface Sea surface Oceans Color Hyperspectral imaging Spectroscopy NASA Propulsion
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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