| Document Date: 2014-09-29 08:05:39
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City Siena / Rome / / Company Australian Journal / Figure / / Country Italy / Australia / / Currency SAR / / Facility Tor Vergata University / / IndustryTerm multispectral processing chain / routine processing tasks / remote sensing applications / higher quality grape products / satellite data / neural network / biological and chemical factors / typical grid-search approach / qualitative airborne multispectral imaging / neural networks / neural network algorithm / adequate pre-processing steps / suitable algorithms / satellite data images / artificial neural networks / autoassociative neural networks / energy / / Organization Civil Engineering and Computer Science Engineering Department / Tor Vergata University / Italian Space Agency / / Person Maria Rosaria Guarini / Giovanni Schiavon / Daniele Latini / Cristina Vittucci / Matteo Picchiani / Luciano Pagni / / Region southeastern Australia / / Technology remote sensing / NEURAL NETWORK / microwave / neural network algorithm / NN algorithms / /
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A NEURAL NETWORK ARCHITECTURE COMBINING VHR SAR AND MULTISPECTRAL DATA FOR PRECISION FARMING IN VITICULTURE Fabio Del Frate (1), Daniele Latini (2), Matteo Picchiani (2), Giovanni Schiavon (1), Cristina Vittucci):