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Proceedings Paper

Autonomous recognition of large-scale shapes in marine observation satellite images
Author(s): Hiromichi Yamamoto; Kohzo Homma; Hiromi Gomi; Hideo Tameishi; Hirokimi Shingu
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Paper Abstract

An automatic accurate recognition scheme for large-scale structures such as ocean currents, eddies and water masses is an essential technology for extracting environmental information and fishing resource. In this paper, new autonomous recognition schemes based on knowledge-base approaches are derived. And a fundamental scheme for enabling processing to be carried out by small-scale computer architectures is developed. These schemes can greatly reduce the amount of data required to describe large-scale structures like ocean eddies and/or ocean currents, and are therefore expected to be very useful for the autonomous on-orbit processing of ocean observation data. Some applications of the schemes to the recognition of moving shapes in noisy images remotely sensed from Earth orbits are also presented with evaluative experimental results.

Paper Details

Date Published: 7 December 2001
PDF: 9 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449784
Show Author Affiliations
Hiromichi Yamamoto, National Aerospace Lab. (Japan)
Kohzo Homma, National Aerospace Lab. (Japan)
Hiromi Gomi, National Aerospace Lab. (Japan)
Hideo Tameishi, Japan Fisheries Information Service Ctr. (Japan)
Hirokimi Shingu, National Aerospace Lab. (Japan)

Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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