TSNET: A solid waste instance segmentation model in China based on a Two-Step detection strategy and satellite remote sensing images

Due to the concealment and randomness of solid waste disposal sites, the time and manpower costs for manual on-site inspections or remote sensing visual interpretation are significantly increased. Therefore, there is an urgent demand for the development of instance segmentation models for solid wast...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Jiaqi Yu, Pan Mao, Wenfu Wu, Qingtao Wang, Xiang Shao, Jiahua Teng, Yifei Wang
Format:	Article
Language:	English
Published:	Elsevier 2025-02-01
Subjects:	Solid waste Remote sensing imagery SFE-YOLO Instance segmentation Two-step detection strategy
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843225000135