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24 August 1999 U.S. Army's Center of Excellence for Spectral Sensing Technology
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Abstract
Recent advances in the field of spectral sensing technology have elucidated the benefits of multi-spectral and hyperspectral sensing to the Army's user community. These advancements, when properly exploited can provide the Army with additional and improved automated terrain analysis, image understanding, object detection, and material characterization capabilities. The U.S. Army, led by the Topographic Engineering Center, has established a Center of Excellence for Spectral Sensing Technology. This Center conducts Army wide collaborative research on, and development and demonstration of spectral sensing, processing and exploitation technologies. The Center's collaborative efforts integrate Army programs across multiple disciplines and form a baseline program consisting of coordinated technology thrusts. The program's applied research and demonstration components will in turn support an Army spectral Strategic Technology Objective (STO) that will ultimately support and leverage joint service efforts starting in FY00. Existing efforts span the domains of sensor hardware, data processing architectures, algorithms, and, signal processing and exploitation technologies across wide spectral regions. These thrusts in turn enable progress and performance improvement in the automated analysis, understanding, classification, discrimination, and identification of terrestrial objects, and materials. The participants draw upon common scientific processes and disciplines to attack similar problems related to different categories and domains of phenomenology. This paper describes the Center's program and objectives along with an explanation of the Army's strategy and approach in support of its program objectives.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark K. Hamilton and William E. Roper "U.S. Army's Center of Excellence for Spectral Sensing Technology", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359986
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