3-D ground truth reconstruction using 2-D ISAR imagery

摘要

Since ISAR (Inverse Synthetic Aperture Radar) can convey information which may not be obtainable by other imaging means, research on applying ISAR to battle field awareness has been intensive. One highly desirable application of ISAR imager is to reconstruct 3D ground truth, which provides depth information to enhance target recognition and tracking. This paper proposes a stereo vision approach to reconstruct 3D ground truth using ISAR imagery. The proposed approach includes three steps: multiscale feature extraction, stereo matching, and surface interpolation. The multiscale feature extraction is accomplished using a wavelet edge detector, which can smooth the signal and reduce noise at different levels.