Forest roads damage detection based on deep learning algorithms
Author:
Affiliation:
1. Faculty of Natural Resources & Marine Sciences, Tarbiat Modares University, Tehran, Iran
2. Forest Research Centre (CEF), School of Agriculture, University of Lisbon, Lisbon, Portugal
Funder
Tarbiat Modares University
Publisher
Informa UK Limited
Subject
Forestry
Link
https://www.tandfonline.com/doi/pdf/10.1080/02827581.2022.2147213
Reference35 articles.
1. Short term monitoring of forest road pavement degradation using terrestrial laser scanning
2. Ale L, Zhang N, Li L. 2018. Road damage detection using RetinaNet. In: 2018 IEEE International Conference on Big Data (Big Data); Dec. IEEE. p. 5197–5200.
3. Alfarrarjeh A, Trivedi D, Kim SH, Shahabi C. 2018. A deep learning approach for road damage detection from smartphone images. In: 2018 IEEE International Conference on Big Data (Big Data); Dec. IEEE. p. 5201–5204.
4. A State-of-the-Art Survey on Deep Learning Theory and Architectures
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