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Detection of 3D objects using eigenanalysis

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.