GFTT: Geographical Feature Tokenization Transformer for SAR-to-Optical Image Translation

GFTT: Geographical Feature Tokenization Transformer for SAR-to-Optical Image Translation

Synthetic aperture radar (SAR) image to optical image translation not only assists information interpretability, but also fills the gaps in optical applications due to weather and light limitations. However, several studies have pointed out that specialized methods heavily struggle to deliver images...

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Bibliographic Details
Main Authors: Hongbo Liang, Xuezhi Yang, Xiangyu Yang, Jinjin Luo, Jiajia Zhu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Geographical imaging tokenizer (GIT)
noise-contrastive estimation (NCE)
self-supervisory task
synthetic aperture radar (SAR)-to-optical (S2O) image translation
transformer
Online Access:https://ieeexplore.ieee.org/document/10816574/
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https://ieeexplore.ieee.org/document/10816574/

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