Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target Recognition

Bibliographic Details
Title: Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target Recognition
Authors: Kim, Sungho, Song, Woo-Jin, Kim, So-Hyun
Source: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on. :195-202 Jul, 2017
Relation: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Database: IEEE Xplore Digital Library
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      – Type: doi
        Value: 10.1109/CVPRW.2017.30
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        PageCount: 8
        StartPage: 195
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      – TitleFull: Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target Recognition
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            NameFull: Kim, Sungho
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            NameFull: Song, Woo-Jin
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            NameFull: Kim, So-Hyun
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          Dates:
            – D: 01
              M: 07
              Type: published
              Y: 2017
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