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Joan Bartrina-Rapesta on Muck Rack

Joan Bartrina-Rapesta

As seen in: MDPI
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Articles

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning

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By Johannes Balle, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero
| MDPI
1. Introduction Hyperspectral remote sensing scenes, either captured from aeroplanes such as by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) or from space such as by the Hyperion sensor on board the EO-1 satellite, are of great interest for managing earth resources, natural disasters, or urban planning, among other applications [1].
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