( en | de | ru )

 

Disambiguation of "Gaetano, Raffaele"

Author of the publication

copydeleteadd this publication to your clipboard
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships.

, , , , , and . Remote. Sens., 12 (17): 2814 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Raffaele Gaetano

Raffaele Coletti

Gaetano Romano

Gaetano Cicinnati

Raffaele Mirelli

 

Other publications of authors with the same name

Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation., , , and . CoRR, (2020)Monitoring Complex Integrated Crop-Livestock Systems at Regional Scale in Brazil: A Big Earth Observation Data Approach., , , , , , , and . Remote. Sens., 14 (7): 1648 (2022)Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification., , , , and . IGARSS, page 4881-4884. IEEE, (2019)Morphological road segmentation in urban areas from high resolution satellite images., , , and . DSP, page 1-8. IEEE, (2011)Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series., , , , and . IGARSS, page 275-278. IEEE, (2022)Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data., , , , , , , and . IGARSS, page 7301-7304. IEEE, (2022)Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning., , , and . CoRR, (2024)Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks., , , , and . Remote Sensing, 11 (22): 2635 (2019)A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels., , and . Neurocomputing, (January 2024)Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)