Proceedings Paper
A constrained optimization technique for estimating environmental parameters from CZMIL hyperspectral and lidar data| Format | Member Price | Non-Member Price |
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Paper Abstract
We have developed a combined atmospheric-oceanographic spectral optimization solution decomposing measured
airborne radiance data from the passive spectrometer into environmental parameters of interest. In this model, we hold
depth measurements from the lidar as fixed constraints, thereby gaining a degree of freedom in the solution, and
extending the solution into deeper waters than achieved with passive data alone. In this paper, we illustrate results of the
data processing procedure and assess the accuracy of estimated IOPs (Inherent Optical Properties) parameters through
comparison to in-situ measurements.
Paper Details
Date Published: 12 May 2010
PDF: 9 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769513 (12 May 2010); doi: 10.1117/12.851989
Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 9 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769513 (12 May 2010); doi: 10.1117/12.851989
Show Author Affiliations
Minsu Kim, Optech International, Inc. (United States)
Joong Yong Park, Optech International, Inc. (United States)
Joong Yong Park, Optech International, Inc. (United States)
Grady Tuell, Optech International, Inc. (United States)
Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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