Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    HIGHLY EFFICIENT SATELLITE IMAGERY DENOISING TECHNIQUE USING DEEP CONVOLUTIONAL NEURAL NETWORK


    Contributors:

    Conference:

    IAF Symposium on Integrated Applications ; 2020 ; Online



    Publication date :

    2021



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.88 Luftverkehr, Raumfahrt / 55.60 Raumfahrttechnik



    Vehicle pose estimation in WAMI imagery via deep convolutional neural networks

    Yi, Meng / Wang, Dong / Yang, Fan et al. | IEEE | 2016


    Convolutional Neural Networks based Denoising for Indoor Localization

    Njima, Wafa / Chafii, Marwa / Nimr, Ahmad et al. | IEEE | 2021


    Fusion of Lidar and Aerial Imagery to Map Wetlands and Channels via Deep Convolutional Neural Network

    Xu, Haiqing / Toman, Elizabeth Myers / Zhao, Kaiguang et al. | Transportation Research Record | 2022



    Emergency Vehicle Detection Using Deep Convolutional Neural Network

    Haque, Samiul / Sharmin, Shayla / Deb, Kaushik | Springer Verlag | 2022