Feature-Based Target Detection and Classification in Passive ISAR Range-Crossrange Images

Kovács, Levente Attila and Manno-Kovács, Andrea Feature-Based Target Detection and Classification in Passive ISAR Range-Crossrange Images. In: Signal Processing Symposium (SPSympo).

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Abstract

We present a method for passive ISAR image analysis for target detection, feature extraction and shape-based classification without a priori target shape information. Results show that classification is possible with limited target samples.

Item Type: Conference or Workshop Item (Speech)
Subjects: Q Science > QA Mathematics and Computer Science
Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: Andrea Manno-Kovács
Date Deposited: 19 Jul 2017 13:06
Last Modified: 19 Jul 2017 13:06
URI: http://eprints.sztaki.hu/id/eprint/9177

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