Browsing Institute of New Imaging Technologies (INIT) by Author "b77d050e-19f3-450f-bebf-b94475996dcf"
Now showing items 1-5 of 5
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DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices
Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-03-22)The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ... -
Masked Auto-Encoding Spectral-Spatial Transformer for Hyperspectral Image Classification
Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-10-28)Deep learning has certainly become the dominant trend in hyperspectral (HS) remote sensing (RS) image classification owing to its excellent capabilities to extract highly discriminating spectral–spatial features. In this ... -
Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto Institute of Electrical and Electronics Engineers (2020-09-24)The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal ... -
SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis
Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto IEEE (2022-07)The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop a ... -
Time-Resolved Sentinel-3 Vegetation Indices Via Inter-Sensor 3-D Convolutional Regression Networks
Fernandez-Beltran, Ruben; Ibáñez Fernández, Damián; kang, jian; Pla, Filiberto Institute of Electrical and Electronics Engineers (2021-09-03)Sentinel missions provide widespread opportunities of exploiting inter-sensor synergies to improve the operational monitoring of terrestrial photosynthetic activity and canopy structural variations using vegetation indices ...