A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

Multisensor data analysis allows exploiting heterogeneous data regularly acquired by the many available remote sensing (RS) systems. Machine- and deep-learning methods use the information of heterogeneous sources to improve the results obtained by using single-source data. However, the state-of-the-...

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Bibliographic Details
Main Authors: Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL) classification
multiresolution
multisensor data
multitemporal images
remote sensing (RS)
very-high-resolution (VHR) images
Online Access:https://ieeexplore.ieee.org/document/10041791/

Internet

https://ieeexplore.ieee.org/document/10041791/

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