id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-21770	Jiang, Zhenzhao	Building Damage Degree Recognition Based on Temporal Attention Features	2024	8	.pdf	application/pdf	5549	291	45	Therefore, utilizing artificial intelligence technology to accelerate the analysis and interpretation of satellite images, reduce the subjectivity of visual interpretation, and achieve quantitative calculations has become an important direction for improving the accuracy and automation of obtaining building damage information. The DFMA feature attention fusion module is introduced to enhance the ability of dual-temporal feature extraction and achieve end-to-end assessment of building damage.	cache/ajst-21770.pdf	txt/ajst-21770.txt