Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images-Reference-Cited by-同舟云学术

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images

Published:2022 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Luppino Luigi Tommaso¹^ORCID,Hansen Mads Adrian²,Kampffmeyer Michael¹^ORCID,Bianchi Filippo Maria³^ORCID,Moser Gabriele⁴^ORCID,Jenssen Robert¹^ORCID,Anfinsen Stian Normann⁵

Affiliation:

1. Department of Physics and Technology, UiT The Arctic University of Norway, 9037 Tromsø, Norway.

2. SpareBank 1 Nord-Norge, 9008 Tromsø, Norway.

3. Department of Mathematics and Statistics, UiT The Arctic University of Norway, 9037 Tromsø, Norway, and also with NORCE Norwegian Research Centre AS, 9019 Tromsø, Norway.

4. DITEN Department, University of Genoa, 16145 Genoa, Italy.

5. Department of Physics and Technology, UiT The Arctic University of Norway, 9037 Tromsø, Norway, and also with NORCE Norwegian Research Centre AS, 9019 Tromsø, Norway.

Funder

Research Council of Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09773305.pdf?arnumber=9773305

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