Autonomous recognition of large-scale shapes in marine observation satellite images

Hiromichi Yamamoto; Kohzo Homma; Hiromi Gomi; Hideo Tameishi; Hirokimi Shingu

doi:10.1117/12.449784

7 December 2001 Autonomous recognition of large-scale shapes in marine observation satellite images

Hiromichi Yamamoto, Kohzo Homma, Hiromi Gomi, Hideo Tameishi, Hirokimi Shingu

Proceedings Volume 4472, Applications of Digital Image Processing XXIV; (2001) https://doi.org/10.1117/12.449784
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Hiromichi Yamamoto, Kohzo Homma, Hiromi Gomi, Hideo Tameishi, and Hirokimi Shingu "Autonomous recognition of large-scale shapes in marine observation satellite images", Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); https://doi.org/10.1117/12.449784

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