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Proceedings Paper

Data Dome: full k-space sampling data for high-frequency radar research
Author(s): Kiranmai Naidu; Luke Lin
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Paper Abstract

Visual-D is a 2004 DARPA/IXO seedling effort that would develop a capability for reliable high confidence ID from standoff ranges. Being able to form optical-quality SAR images (exploiting full polarization, wide angle, etc) would key evidence that such a capability is achievable. The seedling team produced a public release data set and associated challenge problems to support community research in this area. The premise of this paper is to describe the full data set and 3 associated challenge problems that are defined over interesting subsets of the full data set.

Paper Details

Date Published: 2 September 2004
PDF: 8 pages
Proc. SPIE 5427, Algorithms for Synthetic Aperture Radar Imagery XI, (2 September 2004); doi: 10.1117/12.548773
Show Author Affiliations
Kiranmai Naidu, Air Force Research Lab. (United States)
Luke Lin, SAIC/DEMACO (United States)


Published in SPIE Proceedings Vol. 5427:
Algorithms for Synthetic Aperture Radar Imagery XI
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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