Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images

Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images

Mapping plant species at the regional scale to provide information for ecologists and forest managers is a challenge for the remote sensing community. Here, we use a deep learning algorithm called U-net and very high-resolution multispectral images (0.5 m) from GeoEye satellite to identify, segment...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Fabien H. Wagner, Ricardo Dalagnol, Ximena Tagle Casapia, Annia S. Streher, Oliver L. Phillips, Emanuel Gloor, Luiz E. O. C. Aragão
Format: Artykuł
Język:English
Wydane: MDPI AG 2020-07-01
Seria:Remote Sensing
Hasła przedmiotowe:
U-net
Semantic segmentation
deep learning
species distribution, very high resolution images
Dostęp online:https://www.mdpi.com/2072-4292/12/14/2225

Internet

https://www.mdpi.com/2072-4292/12/14/2225

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