Paper
30 August 2004 Signal processing innovations for flexible multipayload E/O system
Charles Carter, Scott K. Diamond, Lee Kimes, Steve Sandven
Author Affiliations +
Abstract
With the variety of advanced payloads available in E/O systems, operators can easily become confused or overwhelmed with the amount of data available to them. FLIR systems has taken the approach of backing sensor applications with advanced signal processing and control systems to reduce the data set to relevant information and reduce operator workload. Architectures are discussed for signal processing and implementations with FPGA and DSP chips are compared and contrasted. Three signal processing case studies are covered in detail: autofocus, haze penetration and image blending.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles Carter, Scott K. Diamond, Lee Kimes, and Steve Sandven "Signal processing innovations for flexible multipayload E/O system", Proc. SPIE 5406, Infrared Technology and Applications XXX, (30 August 2004); https://doi.org/10.1117/12.541572
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KEYWORDS
Digital signal processing

Signal processing

Video

Air contamination

Field programmable gate arrays

Image blending

Sensors

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