PROCEEDINGS ARTICLE | January 11, 2007
Proc. SPIE. 6279, 27th International Congress on High-Speed Photography and Photonics
KEYWORDS: Target detection, Optical filters, Detection and tracking algorithms, LIDAR, Signal processing, Image filtering, Optical simulations, Target recognition, Radar imaging, Filtering (signal processing)
Laser radar can simultaneously produce the intensity and range images, and the space resolution is high, so the
recognition performance is well, and it can choose the aim point of target. Laser radar is applied to many fields, such as
guidance, navigation, and becomes the research hot point in recent years. In the vertical detection of laser radar, the
algorithm is required not only solving in-plane rotation-invariant problem, also the distortion-invariant problem, and it
must satisfied the real-time. Correlation algorithm is a parallel processing procedure, detecting many targets at one time,
and its design can be implemented on the high speed digital signal processor. In the paper, a new filter named
CHF-MACH filter is presented, which combine multiple circular harmonic expansions into one filter through MACH
criteria. Because of the filter having the characters of the two filters, it can solve the problems of in-plane
rotation-invariance and distortion-invariance simultaneously, and meet the real-time requirement. The simulated range
image of laser radar is regarded as research target, and computing the PSR (peak to sidelobe ratio) values of correlation
output of the different objects, and plotting the PSR curves of the different angles. Simulating the scene of laser radar
which includes multiple objects, CHF-MACH filter performance is validated through testing with the different angles for
the objects, and the non-training images can obtain the well correlation output.
