Prelude to CZMIL: seafloor imaging and classification results achieved with CHARTS and the rapid environmental assessment (REA) processor

Jennifer Aitken; Vinod Ramnath; Viktor Feygels; Abhinav Mathur; Minsu Kim; Joong Yong Park; Grady Tuell

doi:10.1117/12.851915

12 May 2010 Prelude to CZMIL: seafloor imaging and classification results achieved with CHARTS and the rapid environmental assessment (REA) processor

Jennifer Aitken, Vinod Ramnath, Viktor Feygels, Abhinav Mathur, Minsu Kim, Joong Yong Park, Grady Tuell

Author Affiliations +

Proceedings Volume 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI; 76950S (2010) https://doi.org/10.1117/12.851915
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

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Jennifer Aitken, Vinod Ramnath, Viktor Feygels, Abhinav Mathur, Minsu Kim, Joong Yong Park, and Grady Tuell "Prelude to CZMIL: seafloor imaging and classification results achieved with CHARTS and the rapid environmental assessment (REA) processor", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76950S (12 May 2010); https://doi.org/10.1117/12.851915

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