DocumentCode :
3478839
Title :
Deep-sea Geo-referenced Video Mosaics
Author :
Rzhanov, Y. ; Mayer, L. ; Beaulieu, S. ; Shank, T. ; Soule, S.A. ; Fornari, D.J.
Author_Institution :
Center for Coastal & Ocean Mapping, New Hampshire Univ., Durham, NH
fYear :
2006
fDate :
18-21 Sept. 2006
Firstpage :
1
Lastpage :
6
Abstract :
Seafloor imagery is an important tool for scientists engaged in quantifying geological and biological processes operating on the deep-ocean floor. Large-scale mosaics of seafloor imagery have significant advantages over individual still photographs and video footage as they are able to capture large areas while retaining sufficient resolution to identify small-scale features. However, the process of constructing a mosaic is usually limited to a single panorama or transects from still imagery, and often requires manual control by the user. The goal of this paper is to describe a methodology that allows for utilization of navigation data for robust automatic construction and geo-referencing of video mosaics. This methodology is designed specifically for the submersible Alvin, but our methodology may be modified for use with other underwater vehicles and is broadly applicable to the creation of mosaics in a variety of seafloor settings
Keywords :
feature extraction; image segmentation; oceanography; seafloor phenomena; underwater vehicles; automatic construction; biological process; deep-sea geo-referenced video mosaics; geological process; navigation data; photographs; seafloor imagery; submersible Alvin; underwater vehicles; Biological processes; Design methodology; Geology; Human factors; Image resolution; Large-scale systems; Navigation; Robustness; Sea floor; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2006
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0114-3
Electronic_ISBN :
1-4244-0115-1
Type :
conf
DOI :
10.1109/OCEANS.2006.307018
Filename :
4098855
Link To Document :
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