Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network-Reference-Cited by-同舟云学术

Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network

Published:2024-08-03 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Abidi Azza^ORCID,Ienco Dino^ORCID,Ben Abbes Ali^ORCID,Farah Imed Riadh^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-10186-2.pdf

Reference49 articles.

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3. Haldar S, Mandal S, Bhattacharya Su, Paul S (2023) Dynamicity of Land Use/Land Cover (LULC) An analysis from peri-urban and rural neighbourhoods of Durgapur Municipal Corporation (DMC) in India. Reg Sustain. https://doi.org/10.1016/j.regsus.2023.05.001

4. Abidi A, Abbes A, Gbodjo Y, Ienco D, Farah I (2021) Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data. Remote Sens Lett 13:11. https://doi.org/10.1080/2150704X.2021.2001071

5. Ienco D, Gbodjo Y, Gaetano R, Interdonato R (2020) Weakly supervised learning for land cover mapping of satellite image time series via attention-based CNN. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3024133