Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB

Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB

The accessibility of very-high-resolution Remote Sensing (RS) near-infrared (NIR) imagery before the 2010s is limited. In addition, public annotated image datasets often used as benchmarks contain only RGB information. Thus, RGB-to-NIR translation could greatly benefit the RS field. Generative adver...

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Bibliographic Details
Main Authors: Viktoria Kristollari, Vassilia Karathanassi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptation model
adversarial machine learning
image generation
infrared imaging
image resolution
multispectral imaging
Online Access:https://ieeexplore.ieee.org/document/11005574/
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https://ieeexplore.ieee.org/document/11005574/

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