X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth observation images, such as multispectral imagery (MSI) or synthetic aperture radar (SAR) data, are openly available on a global scale, enabli...

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Detalles Bibliográficos
Autores principales: Hong, Danfeng, Yokoya, Naoto, Xia, Gui-Song, Chanussot, Jocelyn, Zhu, Xiao Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453915/
https://www.ncbi.nlm.nih.gov/pubmed/32904376
http://dx.doi.org/10.1016/j.isprsjprs.2020.06.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453915/
https://www.ncbi.nlm.nih.gov/pubmed/32904376
http://dx.doi.org/10.1016/j.isprsjprs.2020.06.014

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