PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal-Reference-Cited by-同舟云学术

PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sebastianelli Alessandro¹^ORCID,Puglisi Erika²,Del Rosso Maria Pia¹^ORCID,Mifdal Jamila³^ORCID,Nowakowski Artur⁴^ORCID,Mathieu Pierre Philippe³^ORCID,Pirri Fiora²^ORCID,Ullo Silvia Liberata¹^ORCID

Affiliation:

1. Department of Engineering, University of Sannio, Benevento, Italy

2. Department of Automation Robotics and Control for Aerospace, La Sapienza University, Rome, Italy

3. Φ-Lab, European Space Agency, Frascati, Italy

4. Department of Mathematics and Computer Science, Warsaw University of Technology, Warsaw, Poland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09899477.pdf?arnumber=9899477

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