Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model

Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model

In recent years, forest-fire monitoring methods represented by deep learning have been developed rapidly. The use of drone technology and optimization of existing models to improve forest-fire recognition accuracy and segmentation quality are of great significance for understanding the spatial distr...

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Bibliographic Details
Main Authors:	Zhihao Guan, Xinyu Miao, Yunjie Mu, Quan Sun, Qiaolin Ye, Demin Gao
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Remote Sensing
Subjects:	fire recognition instance segmentation computer vision deep learning aerial imagery
Online Access:	https://www.mdpi.com/2072-4292/14/13/3159

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