Algorithmic techniques for discrimination among similar targets

We investigate how imaging sensors can be exploited to support airborne radar persistent tracking of targets with similar kinematics. We study two image discrimination algorithms. One algorithm is based upon a chi-square test performed on the histograms of the images and the other is based on a two dimensional cross-correlation of the images. Both techniques may be applied to a variety of imaging sensors, including SAR/ISAR, EO/IR cameras, and HRR radar. A comparison of the two approaches is provided for the case of EO images with varying view angles and signal to noise ratios.

[1]  Zheng Bao,et al.  Radar automatic target recognition using complex high-resolution range profiles , 2007 .

[2]  Joseph A. O'Sullivan,et al.  Automatic target recognition using sequences of high resolution radar range-profiles , 2000, IEEE Trans. Aerosp. Electron. Syst..

[3]  A. Farina,et al.  Naval Target Classification by Fusion of Multiple Imaging Sensors Based on the Confusion Matrix , 2009 .

[4]  A. Farina,et al.  Study of the classification task into an integrated multisensor system for maritime border control , 2008, 2008 IEEE Radar Conference.

[5]  Gianluca Marsiglia,et al.  Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations , 2003, SPIE Defense + Commercial Sensing.

[6]  Gang Li,et al.  An automatic target recognition algorithm based on image matching with multiple sub templates , 2007, International Congress on High-Speed Imaging and Photonics.

[7]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[8]  F. Gini,et al.  Naval Target Classification Based on the Confusion Matrix , 2008, 2008 IEEE Aerospace Conference.

[9]  A. Farina,et al.  Design and analysis of a knowledge-aided radar detector for doppler processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Mengdao Xing,et al.  Radar HRRP target recognition based on higher order spectra , 2005, IEEE Transactions on Signal Processing.