Work

RS-YOLOv5: an improved YOLOv5 method for locating small road targets – crosswalk and intersection in remote sensing images

Year: 2024

Type: article

Source: Journal of Applied Remote Sensing

DOI: 10.1117/1.jrs.18.034521

Authors: Chengfan Li, Zixuan Zhang, Xuehai Ding, Junjuan Zhao

Institution: Shanghai University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4402732646

FWCI: 0.28

Cites: 49

Cited by: 2

Related to: 10