Parcourir par Mots clés libres
Nombre de documents : 5.
2023
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels.
Ienco Dino, Gaetano Raffaele, Interdonato Roberto.
2023.
Neurocomputing, 567:127031, 11 p.
![[img]](http://agritrop.cirad.fr/style/images/fileicons/text.png)
2022
Sentinel-2 satellite image time-series land cover classification with Bernstein copula approach.
Tamborrino Cristiano, Interdonato Roberto, Teisseire Maguelonne.
2022.
Remote Sensing, 14 (13):3080, 21 p.
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2020
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships.
Gbodjo Yawogan Jean Eudes, Ienco Dino, Leroux Louise, Interdonato Roberto, Gaetano Raffaele, Ndao Babacar.
2020.
Remote Sensing, 12 (17), n.spéc. Multi-Sensor Data Fusion and Analysis of Multi-Temporal Remote Sensed Imagery:2814, 28 p.
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Toward spatio-spectral analysis of sentinel-2 time series data for land cover mapping.
Gbodjo Jean Eudes, Ienco Dino, Leroux Louise.
2020.
IEEE Geoscience and Remote Sensing Letters, 17 (2) : 307-311.
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2015
The integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach.
De Beyer Leigh Helen.
2015.
Stellenbosch : Stellenbosch University, 184 p. Thesis MSc : Science in Geoinformatics : Stellenbosch University
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