Combat Identification with Synthetic Aperture Radar, Out-Of-Library Identification, and Non-Declarations

Name: Combat Identification with Synthetic Aperture Radar, Out-Of-Library Identification, and Non-Declarations
Brand: Biblioscholar
SKU: 9781249593973
Price: 6852 HUF
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Szerző: Mark A Friend

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Kötés: Puha kötésű

Kiadó: Biblioscholar

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The purpose of this research is to improve combat target identification (CID) of targets using synth...

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Szerző

Mark A Friend

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

184

EAN

9781249593973

ISBN

9781249593973

Enbook ID

08142407

Kiadó

Biblioscholar

Súly

340

Méretek

189 x 246 x 10

Teljes leírás

The purpose of this research is to improve combat target identification (CID) of targets using synthetic aperture radar data. In a forced decision scenario, all unknown objects are given a target class label. In this research, instead of forcing a decision, objects are labeled out-of-library (OOL) if they are unlike any objects used to train the classifier. Objects similar to more than one object, represented in the library of known objects, are given a non-declaration (NDEC) designation. This research develops a new method to identify OOL records based on squared Mahalanobis distance and NDEC methods based on information theory. A significant challenge of this research is the requirement that the methods function well in operating conditions the classifier was not designed for i.e. extended operating conditions. The potential benefits of context based modifications of OOL and NDEC criterion are demonstrated with an experimental design. Additionally, the utility of the OOL and NDEC methodologies are demonstrated through experimental design. In these experiments, a mathematical framework is used to choose the optimal classifier parameters and methodologies. The framework optimization is constrained consistent with war fighter preferences.

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Combat Identification with Synthetic Aperture Radar, Out-Of-Library Identification, and Non-Declarations

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