DocumentCode :
1216604
Title :
Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery
Author :
Adler-Golden, Steven M. ; Acharya, Prabhat K. ; Berk, Alexander ; Matthew, Michael W. ; Gorodetzky, David
Author_Institution :
Res. Syst. Inc. Boulder, CO, USA
Volume :
43
Issue :
2
fYear :
2005
Firstpage :
337
Lastpage :
347
Abstract :
An efficient, physics-based remote bathymetry method for the littoral zone is described and illustrated with applications to QuickBird, Littoral Airborne Sensor: Hyperspectral (LASH), and Airborne Visible/Infrared Spectrometer (AVIRIS) spectral imagery. The method combines atmospheric correction, water reflectance spectral simulations, and a linear unmixing bathymetry algorithm that accounts for water surface reflections, thin clouds, and variable bottom brightness, and can incorporate blends of bottom materials. Results include depth maps, bottom color visualizations, and in favorable cases, approximate descriptions of the water composition. In addition, atmospheric correction was advanced through new capabilities added to the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and Moderate Resolution Transmittance (MODTRAN) codes, including characterization of the aerosol wavelength dependence and a discrete-ordinate-method radiative transfer scaling technique for rapid calculation of multiply scattered radiance.
Keywords :
artificial satellites; bathymetry; geophysical signal processing; image processing; infrared imaging; oceanographic techniques; radiative transfer; spectral analysis; terrain mapping; AVIRIS; Airborne Visible/Infrared Spectrometer; Hawaii; Kaneohe Bay; LASH; Line-of-sight Atmospheric Analysis of Spectral Hypercubes; MODTRAN codes; Moderate Resolution Transmittance; QuickBird imagery; aerosol; algorithm compensation; atmospheric correction; bottom color visualizations; clouds; depth maps; hydrology; hypercubes; linear unmixing bathymetry algorithm; littoral zone; optical image processing; radiative transfer; remote bathymetry; remote sensing; satellite applications; sea coast; spectral analysis; underwater object detection; water reflectance spectral simulations; water surface reflections; Atmospheric modeling; Atmospheric waves; Hyperspectral imaging; Hyperspectral sensors; Infrared image sensors; Infrared spectra; Reflection; Reflectivity; Sensor phenomena and characterization; Spectroscopy;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.841246
Filename :
1386505
Link To Document :
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