Multiresolution surface feature analysis for automatic target identification based on laser radar images
Image Processing, International Conference on (1997)
Oct. 26, 1997 to Oct. 29, 1997
Q.A. Holmes , Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
X. Zhang , Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
D. Zhao , Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
Automatic target recognition based on range image data acquired with laser radar imagers is a research topic that is of great interest to both the defense and manufacturing industries. A hybrid approach using both models and features for automatic target identification/recognition within laser radar images is presented. The multiscale and geometrical features are developed and deployed as input parameters for the proposed classification method. The experimental results show that the proposed method has achieved a satisfactory target classification.
optical radar; multiresolution surface feature analysis; automatic target identification; laser radar images; automatic target recognition; range image data; laser radar imagers; defense industries; manufacturing industries; hybrid approach; multiscale features; geometrical feature; input parameters; classification method; target classification
Q. Holmes, X. Zhang and D. Zhao, "Multiresolution surface feature analysis for automatic target identification based on laser radar images," Image Processing, International Conference on(ICIP), Washington, DC, 1997, pp. 468.