The challenge of automatic target recognition of military targets within a synthetic aperture radar scene is addressed in this paper. The proposed approach exploits the discrete-defined Krawtchouk moments, which are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification, and characterization, with high reliability in the presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.
Automatic Target Recognition of Military Vehicles With Krawtchouk Moments
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 1 ; 493-500
2017-02-01
476209 byte
Article (Journal)
Electronic Resource
English
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