Identification and characterization of rock discontinuities under complex terrain conditions based on UAV photogrammetry and ANN algorithm
Authors:
- 6 March 2025
- journal article
- research article
- Published by Springer Nature in Bulletin of Engineering Geology and the Environment
- Vol. 84 (4) , 1-26
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (41825018, 42141009)
- Ministry of Science and Technology of the People's Republic of China (2019QZKK0904)
This publication has 67 references indexed in Scilit:
- Rock Discontinuities Identification from 3D Point Clouds Using Artificial Neural NetworkRock Mechanics and Rock Engineering, 2022
- Identification of potential rockfall sources using UAV-derived point cloudBulletin of Engineering Geology and the Environment, 2021
- A-BQ, a classification system for anisotropic rock mass based on China National StandardJournal of Central South University, 2020
- UAVs for monitoring, investigation, and mitigation design of a rock slope with multiple failure mechanisms—a case studyLandslides, 2020
- Automatic Mapping of Discontinuity Persistence on Rock Masses Using 3D Point CloudsRock Mechanics and Rock Engineering, 2018
- K-means Algorithm Based on Particle Swarm Optimization for the Identification of Rock Discontinuity SetsRock Mechanics and Rock Engineering, 2014
- Terrestrial laser scanning of rock slope instabilitiesEarth Surface Processes and Landforms, 2013
- Fuzzy C-Means Cluster Analysis Based on Mutative Scale Chaos Optimization Algorithm for the Grouping of Discontinuity SetsRock Mechanics and Rock Engineering, 2012
- Influence of deep seated discontinuities on the left slope of Jinping I Hydropower Station and its stability analysisBulletin of Engineering Geology and the Environment, 2010
- A Tutorial on the Cross-Entropy MethodAnnals of Operations Research, 2005