Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image Enhancement

Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image Enhancement

Edge computing enables rapid data processing and decision-making on satellite payloads. Deploying deep learning-based techniques for low-light image enhancement improves early detection and tracking accuracy on satellite platforms, but it faces challenges due to limited computational resources. This...

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Bibliographic Details
Main Authors: Trong-An Bui, Pei-Jun Lee, Chun-Sheng Liang, Pei-Hsiang Hsu, Shiuan-Hal Shiu, Chen-Kai Tsai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
edge computing
edge-computing-enabled
image enhancement
low light satellite images
onboard
Online Access:https://ieeexplore.ieee.org/document/10412123/

Internet

https://ieeexplore.ieee.org/document/10412123/

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