Gabor Wavelets for Automatic Target Detection and Recognition

摘要

The report describes the work in: (1) Recognition of articulated and occludedtargets in SAR images using invariants and stochastic models; (2) Gabor wavelet representation for distortion-tolerant flexible matching for the recognition of occluded and nonoccluded targets in FLIR images; (3) Bayesian approach for the segmentation of SAR images and an approach for automatic model construction from inverse synthetic aperature radar images; (4) Clutter modeling for target detection in FLIR images and computing salient structures in cluttered images; and (5) Gabor wavelet based approaches for target detection in complex multimodel FLIR images.