Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

This paper presents a novel double weight-based synthetic aperture radar (SAR) and infrared (IR) sensor fusion method (DW-SIF) for automatic ground target recognition (ATR). IR-based ATR can provide accurate recognition because of its high image resolution but it is affected by the weather condition...

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Bibliographic Details
Main Authors: Sungho Kim, Woo-Jin Song, So-Hyun Kim
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Remote Sensing
Subjects:
SAR
IR
fusion
double weights
linear
nonlinear
deep learning
OKTAL-SE
Online Access:http://www.mdpi.com/2072-4292/10/1/72

Internet

http://www.mdpi.com/2072-4292/10/1/72

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