An Attention Enhanced Bidirectional LSTM for Early Forest Fire Smoke Recognition

An Attention Enhanced Bidirectional LSTM for Early Forest Fire Smoke Recognition

Detecting forest fire smoke during the initial stages is vital for preventing forest fire events. Recent studies have shown that exploring spatial and temporal features of the image sequence is important for this task. Nevertheless, since the long distance wildfire smoke usually move slowly and lack...

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Bibliographic Details
Main Authors:	Yichao Cao, Feng Yang, Qingfei Tang, Xiaobo Lu
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Smoke detection attention LSTM spatiotemporal features
Online Access:	https://ieeexplore.ieee.org/document/8865046/

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