Sensor Signal & Image Processing
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Research in the Sensor Signal and Image Processing focus area focuses on holistic approaches to modeling, processing, extracting and exploiting signals and inputs produced by a variety of sensors in widely diverse applications. Aggressive research programs span sensor phenomenology, signal models, processing and fusion techniques, performance analysis as well as image degradation characterization with associated correction techniques. Recent projects have developed technologies in computer-aided non-invasive medical diagnosis and monitoring; commercial applications of speech and image recognition; military and law enforcement techniques for tracking and identification of targets. Students working in this focus area embrace issues ranging from sensor physics to information utility and emerge with a unique appreciation for and capabilities in sensor system design and development. Current research projects include multisensor fusion and automatic target recognition.
Focus Area Chair: Dr. Brian Rigling, Department of Electrical Engineering