Segmentation-Guided Context Learning Using EO Object Labels for Stable SAR-to-EO Translation-Reference-Cited by-同舟云学术

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Segmentation-Guided Context Learning Using EO Object Labels for Stable SAR-to-EO Translation

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:

Lee Jaehyup¹^ORCID,Kim Hyun-Ho²^ORCID,Seo Doochun²^ORCID,Kim Munchurl¹^ORCID

Affiliation:

1. School of EE, KAIST, Daejeon, Yooseong-gu, Republic of Korea

2. KARI, Daejeon, Yooseong-gu, Republic of Korea

Funder

Project “Context Learning SAR-to-EO image Translation (SET) based on Deep Learning with Multi-Class Labeled Dataset”

Korea Aerospace Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10366267.pdf?arnumber=10366267

Reference24 articles.

1. Image-to-Image Translation with Conditional Adversarial Networks

2. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

3. DDColor: Towards photo-realistic image colorization via dual decoders;Kang

4. Spatially-Adaptive Pixelwise Networks for Fast Image Translation

5. A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection

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