Share Email Print
cover

Proceedings Paper

Active-passive data fusion algorithms for seafloor imaging and classification from CZMIL data
Author(s): Joong Yong Park; Vinod Ramnath; Viktor Feygels; Minsu Kim; Abhinav Mathur; Jennifer Aitken; Grady Tuell
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

CZMIL will simultaneously acquire lidar and passive spectral data. These data will be fused to produce enhanced seafloor reflectance images from each sensor, and combined at a higher level to achieve seafloor classification. In the DPS software, the lidar data will first be processed to solve for depth, attenuation, and reflectance. The depth measurements will then be used to constrain the spectral optimization of the passive spectral data, and the resulting water column estimates will be used recursively to improve the estimates of seafloor reflectance from the lidar. Finally, the resulting seafloor reflectance cube will be combined with texture metrics estimated from the seafloor topography to produce classifications of the seafloor.

Paper Details

Date Published: 12 May 2010
PDF: 10 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769515 (12 May 2010); doi: 10.1117/12.851991
Show Author Affiliations
Joong Yong Park, Optech International, Inc. (United States)
Vinod Ramnath, Optech International, Inc. (United States)
Viktor Feygels, Optech International, Inc. (United States)
Minsu Kim, Optech International, Inc. (United States)
Abhinav Mathur, Optech International, Inc. (United States)
Jennifer Aitken, 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)

© SPIE. Terms of Use
Back to Top