Open AccessRotation-invariant target recognition in LADAR range imagery using model matching approach
Author(s) -
Qi Wang,
Li Wang,
Jianfeng Sun
Publication year - 2010
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.18.015349
Subject(s) - artificial intelligence , computer vision , computer science , invariant (physics) , automatic target recognition , rotation (mathematics) , computation , lidar , pattern recognition (psychology) , range (aeronautics) , optics , mathematics , synthetic aperture radar , physics , algorithm , materials science , composite material , mathematical physics
Shape index is introduced to explore the target recognition problem from laser radar (Ladar) range imagery. A raw Ladar scene range image is transformed into a height-range image and a horizontal-range image. Then they are compared with a model library in which every model target includes six selected samples based on the principles of raising recognition rate and shortening computation time. We experimentally demonstrate that the proposed recognition approach can resolve the out-of-plane and rotation-invariant target recognition problem with a high recognition rate.