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- Title
Road Extraction and Distress Assessment by Spaceborne, Airborne, and Terrestrial Platforms.
- Authors
Baiocchi, Valerio; Zhang, Xianfeng; Mei, Alessandro
- Abstract
This document provides an overview of the importance of road extraction and distress assessment using remote sensing technology. It discusses various methods and techniques used in this field, such as image classification and object detection. The document introduces a special issue of the journal Remote Sensing that focuses on road extraction and distress assessment, summarizing 12 articles published in the issue. These articles cover topics such as rural road extraction, crack detection, and object recognition. The document emphasizes the potential of remote sensing technology in assessing road pavement health conditions and suggests the need for further research in this area.
- Subjects
MULTISPECTRAL imaging; PSYCHOLOGICAL distress; SPACE-based radar; ARTIFICIAL neural networks; THEMATIC mapper satellite; REMOTE sensing; PAVEMENTS; CONVOLUTIONAL neural networks
- Publication
Remote Sensing, 2024, Vol 16, Issue 8, p1416
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs16081416