Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach
Author:
Affiliation:
1. Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing, 100871, China
2. China Academy of Electronics and Information Technology, 11 Shuangyuan Road, Beijing, 100041, China
Funder
Bureau of Science and Technology
China Electronic Technology Corporation
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2020.1870217
Reference42 articles.
1. Encoder–decoder network for pixel‐level road crack detection in black‐box images
2. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
3. Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
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