1 February 1994 Detection of 3D objects using eigenanalysis
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Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172514
Event: Substance Identification Technologies, 1993, Innsbruck, Austria
This paper presents a new semi-coherent quadratic eigenimage based technique for detecting stationary targets in SAR data. The new detector is different from previous work because it models the SAR signal as a multi-pixel, multi-band complex random signal with unknown spatial position and orientation. The new proposed detector handles the unknown orientation by modeling each target with a set of angle subclasses. The proposed detector has reduced complexity by using reduced rank techniques.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clayton V. Stewart, Clayton V. Stewart, Sherman Karp, Sherman Karp, Victor J. Larson, Victor J. Larson, } "Detection of 3D objects using eigenanalysis", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172514; https://doi.org/10.1117/12.172514

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