FireSpectral-Attention:Lightweight Cross-Domain Fusion with Guided Attention for Rapid Wildfire Source Localization

Cross domain image fusion technology is of great significance for mountain fire prevention.Attention guided cross domain image fusion technology provides a new solution for early warning and rapid response of mountain fires. This method not only improves the accuracy of detection, but also can effectively deal with the complex and changeable field environment, which is helpful to protect natural resources and human life and property safety.In practical applications, due to the limitations of imaging equipment or the impact of environmental conditions, a single image may not meet the requirements. For example, images in low light conditions may have a lot of noise, while long exposure can reduce noise but cause motion blur. Through Cross domain image fusion technology, useful information can be extracted from a series of images, and adverse factors can be removed to obtain high-quality output images.

Authors

Institutions

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/cvaa66438.2025.11193237
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FireSpectral-Attention:Lightweight Cross-Domain Fusion with Guided Attention for Rapid Wildfire Source Localization

Yabing Zhou, Chong Tang, Ruikang K. Wang
Fire Detection and Safety Systems
article

FireSpectral-Attention:Lightweight Cross-Domain Fusion with Guided Attention for Rapid Wildfire Source Localization

Yabing Zhou, Chong Tang, Ruikang K. Wang
article en

Abstract

Cross domain image fusion technology is of great significance for mountain fire prevention.Attention guided cross domain image fusion technology provides a new solution for early warning and rapid response of mountain fires. This method not only improves the accuracy of detection, but also can effectively deal with the complex and changeable field environment, which is helpful to protect natural resources and human life and property safety.In practical applications, due to the limitations of imaging equipment or the impact of environmental conditions, a single image may not meet the requirements. For example, images in low light conditions may have a lot of noise, while long exposure can reduce noise but cause motion blur. Through Cross domain image fusion technology, useful information can be extracted from a series of images, and adverse factors can be removed to obtain high-quality output images.

Power Grid Corporation (India) (IN)
Openalex Percentile: Top 64%
Fire Detection and Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.