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Proceedings Paper

Compressive and adaptive imaging for target exploitation
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Paper Abstract

Compressive sensing of imagery is a topic of much current research activity. The general field was started by Candès, Romberg, and Tao [1] when considering signals which are Sparse in the Fourier domain. This was generalized to signals sparse in general bases by Candes and Tao [2]. Donoho [3] considered further lines of research in his paper in 2006. The field is growing rapidly with new models for sparsity and algorithms for signal reconstruction being presented in the literature regularly. For signal processing applications, the speed of research and development towards particular applications has been remarkable. The application termed "analog-to-Information" has been researched extensively and an architecture for sampling wide-band signals is given by Laska, et. al. [4]. The possible applications involving image acquisition and exploitation have lagged behind the one dimensional counterpart. The single pixel camera built at Rice University and discussed by Wakin et. al. [5] has allowed algorithm research to go forward on compressive imaging but has not, as of yet, spurned new thoughts on application architectures in the same way as the Analog-to-Information community developed new sensors for wideband signals. We consider several Compressive imaging applications which offer fundamental improvements to current imaging sensors for target tracking and recognition.

Paper Details

Date Published: 24 August 2009
PDF: 15 pages
Proc. SPIE 7442, Optics and Photonics for Information Processing III, 74420A (24 August 2009); doi: 10.1117/12.832025
Show Author Affiliations
Robert Muise, Lockheed Martin Missiles and Fire Control (United States)
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)


Published in SPIE Proceedings Vol. 7442:
Optics and Photonics for Information Processing III
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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