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U.S. Department of Energy
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Signal processing, sensor fusion, and target recognition II--Volume 1955

Conference ·
OSTI ID:5576309

The continuing development of effective signal processing and information/sensor fusion techniques is essential for enhanced target detection, tracking, classification, and identification. This conference addressed techniques for target/image detection, tracking, sensor/algorithm fusion, sensor management, signal and image processing, target recognition, and image compression. The goal of the conference was to cover a broad range of synergistic processes starting from the signal level through various levels of information abstraction to process refinement for enhanced detection, tracking, classification, recognition, and identification performance. The first two sessions were devoted to sensor fusion. Session 1 addressed mathematical methods of target detection in clutter using centralized and distributed fusion as well as model-based and multichannel processing, while the second session concentrated on implementation strategies and applications to multitarget tracking, diagnostics, and target recognition. Session 3 was devoted to multitarget tracking and presented innovative techniques for track association and sensor management. One day was devoted entirely to target recognition and scene analyses for a variety of targets, scenarios, and environmental conditions. Neural networks and model-based approaches using state space, chaos, and fractal model representations played a key role in addressing problems associated with clutter reduction, detection, feature extraction, fusion, tracking, and recognition. The final two sessions were dedicated to signal and image processing, as well as to compression problems using wavelets, fractal models, and run-length coding. Software/hardware issues of distributed processing environments were also addressed.

OSTI ID:
5576309
Report Number(s):
CONF-930445--; ISBN: 0-8194-1191-4
Country of Publication:
United States
Language:
English