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  • title: Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data
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            Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data
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            Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data

            Dez 15, 2023

            Sprecher:innen

            MA

            Matt Allen

            Řečník · 0 sledujících

            FD

            Francisco Dorr

            Řečník · 0 sledujících

            JAGM

            Joseph Alejandro Gallego Mejia

            Řečník · 1 sledující

            Über

            Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change. Large scale, high resolution data derived from these sensors can be used to inform intervention and policy decision making, but the timeliness and accuracy of these interventions is limited by use of optical data, which cannot operate at night and is affected by adverse weather conditions. Synthetic Aperture Radar (SAR) offers a robust alternative to optical data, but i…

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            NeurIPS 2023

            Účet · 645 sledujících

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