Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables.
A spectrum-matching and look-up-table (LUT) methodology has been developed and evaluated to extract environmental information from remotely sensed hyperspectral imagery. The LUT methodology works as follows. First, a database of remote-sensing reflectance (Rrs) spectra corresponding to various water depths, bottom reflectance spectra, and water-column inherent optical properties (IOPs) is constructed using a special version of the HydroLight radiative transfer numerical model. Second, the measured Rrs spectrum for a particular image pixel is compared with each spectrum in the database, and the closest match to the image spectrum is found using a least-squares minimization. The environmental conditions in nature are then assumed to be the same as the input conditions that generated the closest matching HydroLight-generated database spectrum. The LUT methodology has been evaluated by application to an Ocean Portable Hyperspectral Imaging Low-Light Spectrometer image acquired near Lee Stocking Island, Bahamas, on 17 May 2000. The LUT-retrieved bottom depths were on average within 5% and 0.5 m of independently obtained acoustic depths. The LUT-retrieved bottom classification was in qualitative agreement with diver and video spot classification of bottom types, and the LUT-retrieved IOPs were consistent with IOPs measured at nearby times and locations.
Mobley
Curtis D
CD
Sequoia Scientific, Incorporated, 2700 Richards Road, Suite 109, Bellevue, Washington 98005, USA. curtis.mobley@sequoiasci.com
Sundman
Lydia K
LK
Davis
Curtiss O
CO
Bowles
Jeffrey H
JH
Downes
Trijntje Valerie
TV
Leathers
Robert A
RA
Montes
Marcos J
MJ
Bissett
William Paul
WP
Kohler
David D R
DD
Reid
Ruth Pamela
RP
Louchard
Eric M
EM
Gleason
Arthur
A