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FF-fusion: A knowledge-distilled lightweight visible–infrared image fusion framework for Forest fire monitoring

delete2026-07-25
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OA
AI
Q
Qian Yu
G
Gui Zhang *
Y
Ying Wang
X
Xin Wu
W
Wenping Liu
Z
Zhuo Ouyang
Z
Zhi Jiang
齐龙 cover
齐龙 (Long Qi)
W
Wuyang Hu
DOI:10.1016/j.ecoinf.2026.103952delete
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Abstract

Abstract

En 中文
• A deployable workflow is developed for ecological forest fire monitoring. • Knowledge distillation enables a lightweight high-performance fusion model for edge forest fire monitoring. • Edge tests support real-time ecological monitoring on heterogeneous devices.
Keywords:
Forest fire monitoring
Visible–infrared image fusion
Knowledge distillation
Multimodal perception
Edge deployment
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Ecological Informatics cover
Ecological Informatics
IF:
7.3
Papers:
3.7K
Citations:
1.3W

Organization

C
central south university of forestry and technology
Scholars:
1.2K
Papers: 356
Citations: 0
H
hunan automotive engineering vocational university
Scholars:
55
Papers: 44
Citations: 0
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