SBIR/STTR Research Award

Low-Loss Synthetic Aperture Radar (SAR) Data CompressionComplex SAR Image Compression for Automatic Exploitation

Award identifier f5351985dc65a6f6e4db8cccde7e77b5fefa924135028149f74b617e0e1bb218Awarding agency Department of Defense · Army

Award amount

$69,514

Program and phase

SBIR · Phase I

Award year

2004

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ALPHATECH, INC.
Proposal award date
2003-12-16
Contract end date
2004-06-15
UEI
KM4XFJ7CJSY8
Solicitation number
2003.2
Topic code
A03-103

Research abstract

SAR (Synthetic Aperture Radar) systems have proved to be invaluable for many applications, both military and commercial, including automatic target detection and recognition (ATD/R), terrain mapping, change detection, battle damage assessment, and moving target refocusing and detection. The proliferation of SAR systems, along with the dramatic increase in on-board data gathering and processing rates, places an onerous burden on the communication links that transmit SAR data to groundstations for analysis. SAR-specific data compression may alleviate this problem, but compression must not adversely affect downstream automatic exploitation applications (e.g., ATR) that must mine the data for information. These applications require not just the viewable SAR magnitude image, but the full complex image. Previous SAR compression work is lacking in that it deals only with magnitude imagery, and does not measure the effect of compression-induced degradation on downstream applications. ALPHATECH proposes to use innovative approaches to complex SAR compression to develop real-time capable, deeply-compressing algorithms tuned to SAR exploitation applications. Key to algorithm design is an upfront analysis of exploitation application sensitivity to compression-induced degradation, where we quantitatively measure sensitivities by playing degraded imagery through ALPHATECH-owned exploitation applications, including ATD/R, registration, coherent and non-coherent change detection, super-resolution and moving target focusing.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

217 SBIR/STTR records share this UEI (1983–2009). Reported award amounts total $62,908,538. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services

Agency intelligence

Department of Defense

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