DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 149; pp. 91 - 104
• Main Authors: Interdonato, Roberto, Ienco, Dino, Gaetano, Raffaele, Ose, Kenji
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2019; Elsevier
• Subjects: artificial intelligence; autocorrelation; Deep learning; France; Indian Ocean; land cover; Land cover classification; land use; Logic; Mathematics; neural networks; remote sensing; Reunion; Satellite image time series; Sentinel-2; time series analysis; Reunion; Indian Ocean; France; Satellite image time series; Deep learning; Land cover classification; Sentinel-2; Satellite Image Time Series; Deep Learning; Land Cover Classification

Nowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is represented by the Sentinel-2 mission, which provides images at high spatial resolution (up to 10 m) with high temporal revisit period (every 5 days), which can be organized in Satellite Image...