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Proceedings Paper

Prelude to CZMIL: seafloor imaging and classification results achieved with CHARTS and the rapid environmental assessment (REA) processor
Author(s): Jennifer Aitken; Vinod Ramnath; Viktor Feygels; Abhinav Mathur; Minsu Kim; Joong Yong Park; Grady Tuell
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Paper Abstract

Integration of a bathymetric lidar and imaging spectrometer in CHARTS presented the challenge of developing new algorithms and software for combining these two types of data. To support this development, we conducted several field campaigns to collect airborne and in-situ data of the water column and seafloor. This work, sponsored by the Office of Naval Research (ONR) led to development of the Rapid Environmental Assessment (REA) processor. REA can be used to produce seafloor reflectance images from both sensors, and classification maps of the seafloor. Ultimately, REA became the prototype software for CZMIL, and the CZMIL Data Processing System (DPS) has been produced as a continuous refinement of REA. Here, we describe the datasets collected and illustrate results achieved with the REA software.

Paper Details

Date Published: 13 May 2010
PDF: 12 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76950S (13 May 2010); doi: 10.1117/12.851915
Show Author Affiliations
Jennifer Aitken, Optech International, Inc. (United States)
Vinod Ramnath, Optech International, Inc. (United States)
Viktor Feygels, Optech International, Inc. (United States)
Abhinav Mathur, Optech International, Inc. (United States)
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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