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Proceedings Paper

Smart compression using high-dimensional imagery
Author(s): Dalton Rosario
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Paper Abstract

This paper offers an innovative image processing technique (smart data compression) for some Department of Defense and Government users, who may be disadvantaged in terms of network and resource availability as they operate at the tactical edge. Specifically, we propose using the concept of autonomous anomaly detection to significantly reduce the amount of data transmitted to the disadvantaged user. The primary sensing modality is hyperspectral, where a national asset is expected to fly over the region of interest acquiring and processing data in real time, but transmitting only the corresponding data of scene anomalies, their spatial relationships in the imagery, range and navigational direction. Results from a proof of principle experiment using real hyperspectral imagery are encouraging.

Paper Details

Date Published: 26 May 2011
PDF: 11 pages
Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630C (26 May 2011); doi: 10.1117/12.883991
Show Author Affiliations
Dalton Rosario, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 8063:
Mobile Multimedia/Image Processing, Security, and Applications 2011
Sos S. Agaian; Sabah A. Jassim; Yingzi Du, Editor(s)

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