id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-30226	Zhai, Longchen	Automated Construction of Deep Learning Sample Sets for Impervious Surfaces Incorporating Eco-Geographic Partitions	2025	10	.pdf	application/pdf	4553	247	45	A deep learning framework based on ResNeSt introduced into ASPP is used to automatically construct Impervious surface samples in different ecological geographical divisions across the country. The method of automatically constructing Impervious surface samples proposed in this article not only achieves ideal results in terms of accuracy, but also has geographical generalization.	cache/ajst-30226.pdf	txt/ajst-30226.txt