Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval-Reference-Cited by-同舟云学术

Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval

Published:2023 Issue: Volume:61 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ristea Nicolae-Cătălin¹,Anghel Andrei¹^ORCID,Datcu Mihai²^ORCID,Chapron Bertrand³

Affiliation:

1. Research Center for Spatial Information (CEOSpaceTech) and the Department of Telecommunications, University Politehnica of Bucharest, Bucharest, Romania

2. Research Center for Spatial Information (CEOSpaceTech), University Politehnica of Bucharest, Bucharest, Romania

3. Laboratoire d'Ocanographie Physique et Spatiale (LOPS), Plouzané, Ifremer, France

Funder

Ifremer, Plouzané, France

Romanian Ministry of Education and Research, CNCS-UEFISCDI, within PNCDI III

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10113703.pdf?arnumber=10113703

Reference50 articles.

2. Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval

3. Target Classification for Single-Channel SAR Images Based on Transfer Learning With Subaperture Decomposition

4. Guided Deep Learning by Subaperture Decomposition: Ocean Patterns from SAR Imagery

5. SAR Image Retrieval Based on Unsupervised Domain Adaptation and Clustering

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