Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms-Reference-Cited by-同舟云学术

Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms

Published:2024-04-17 Issue:8 Volume:16 Page:1416
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Baiocchi Valerio¹^ORCID,Zhang Xianfeng²^ORCID,Mei Alessandro³^ORCID

Affiliation:

1. Department of Civil Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy

2. Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China

3. Institute of Atmospheric Pollution Research (CNR-IIA), National Research Council of Italy, Monterotondo, 00185 Rome, Italy

Abstract

The road systems connecting villages, cities, and countries stand as a pivotal transportation infrastructure in modern society [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/8/1416/pdf

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5. YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery;Ren;Int. J. Appl. Earth Obs. Geoinf.,2023