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Proceedings Paper

A constrained optimization technique for estimating environmental parameters from CZMIL hyperspectral and lidar data
Author(s): Minsu Kim; Joong Yong Park; Grady Tuell
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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
Show Author Affiliations
Minsu Kim, 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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