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.
Clayton V. Stewart,
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