Recurrent neural networks for discrimination of exo-atmospheric targets based on infrared radiation signature-Reference-Cited by-同舟云学术

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Recurrent neural networks for discrimination of exo-atmospheric targets based on infrared radiation signature

Published:2019-01 Issue: Volume:96 Page:123-132
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Ma Ye,Hu Moufa,Lu Huanzhang,Chang Qing

Funder

National Key Laboratory of Science and Technology on ATR

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. Infrared Detectors;Zhou,2014

2. Pseudo-maximum likelihood estimation of ballistic missile precession frequency;Liu;Signal Process.,2012

3. The micro-motion characteristic and combining classification of ballistic target;Liang,2011

4. Parametric classification techniques for theater ballistic missile defense;Silberman;Johns Hopkins APL Tech. Dig.,1998

5. research on point target detection and recognition algorithm in optical image terminal guidance;Zhang,2005

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