Paper
28 December 2007 Increasing the classification performance of a classifier via sub-space based classifications
Karlhans Rosenbach, Joachim Schiller
Author Affiliations +
Proceedings Volume 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007; 693730 (2007) https://doi.org/10.1117/12.784817
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 2007, Wilga, Poland
Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karlhans Rosenbach and Joachim Schiller "Increasing the classification performance of a classifier via sub-space based classifications", Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 693730 (28 December 2007); https://doi.org/10.1117/12.784817
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KEYWORDS
Radar

Matrices

Data fusion

Databases

Feature extraction

Image fusion

Target recognition

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