Increasing the classification performance of a classifier via sub-space based classifications

Details Increasing the classification performance of a classifier via sub-space based classifications Increasing the classification performance of a classifier via sub-space based classifications

Jan 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.6937e.108r&link_type=abstract

Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007. Edited by Romaniuk, Rys

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One of the challenging problems in modern radar applications is the task of "Non-Co-operative Target Identification" (NCTI). Under many circumstances it is highly important to find out about the class or even identity of a target under observation without a co-operative support of this object. Especially for air-targets, but also for targets on the ground, presently at many places in the world classification methods are investigated, which are based on radar imagery of these targets. In case of a one-dimensional image we speak of "High-Range Resolution"-profiles (HRR-profiles) of the object under consideration, but also two dimensional images gained via SAR or ISAR methods could be used. The following paper deals with the identification of air-targets using HRR-profiles.

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