LersGAN: A GAN-Based Model for Low-Light Remote Sensing Image Enhancement

Enhancement of low-light remote sensing imagery captured by drones presents substantial scientific and practical significance. Suboptimal illumination conditions frequently compromise image acquisition quality, particularly under device and environmental constraints. Such degradation not only dimini...

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Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Tianqi Li, Tiannuo Guo, Deliang Xiang
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Generative adversarial networks (GANs)
low-light image enhancement (LLIE)
remote sensing
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/11157827/

Internet

https://ieeexplore.ieee.org/document/11157827/

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