Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA-Reference-Cited by-同舟云学术

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Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ramos Lucas P.¹^ORCID,Alves Dimas I.¹^ORCID,Duarte Leonardo T.²^ORCID,Machado Renato¹^ORCID,Pettersson Mats I.³^ORCID,Vu Viet T.³^ORCID,Dammert Patrik⁴^ORCID

Affiliation:

1. Department of Telecommunications, Aeronautics Institute of Technology, São José dos Campos, Brazil

2. School of Applied Sciences, State University of Campinas, Limeira, Brazil

3. Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, Karlskrona, Sweden

4. Saab Surveillance, Saab AB, Gothenburg, Sweden

Funder

Brazilian National Council for Scientific and Technological Development

Ministry of Science, Technology and Innovation

Swedish-Brazilian Research and Innovation Centre

Saab

Coordination for the Improvement of Higher Education Personnel (CAPES)

São Paulo Research Foundation (FAPESP)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10605822.pdf?arnumber=10605822

Reference25 articles.

1. Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

2. Analysis on change detection techniques for remote sensing applications: A review

3. A tutorial on synthetic aperture radar

4. Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach

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