Honghai Cui
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Honghai Cui has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Jiali Han
College of Construction Engineering, Jilin University, Changchun 130015, China
1 shared publication - Junqi Chen
State Key Laboratory of Deep Earth Exploration and Imaging, College of Construction Engineering, Jilin University, Changchun 130026, China
1 shared publication - Qi Sun
College of Construction Engineering, Jilin University, Changchun 130015, China
1 shared publication - Wen Zhang
State Key Laboratory of Deep Earth Exploration and Imaging, College of Construction Engineering, Jilin University, Changchun, China
1 shared publication - Xinyue Wang
College of Construction Engineering, Jilin University, Changchun 130015, China
1 shared publication - Zihan Zhao
College of Construction Engineering, Jilin University, Changchun 130015, China
1 shared publication
Latest Publications
- Open Access
- 10 June 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (12) , 6510
Intelligent Recognition of Rock Mass Discontinuities on the Basis of RGB-Enhanced Point Cloud Features
Rock slopes, composed of intact rock masses and relatively weak discontinuities, exhibit stability primarily governed by the spatial distribution of these discontinuities. Under the framework of structural control theory, acquiring discontinuity information is a fundamental prerequisite for rock slope stability analysis. However, advancements in measurement methods have significantly enhanced slope modeling precision while paradoxically reducing the efficiency of discontinuity data acquisition. To address this challenge, this study proposes a novel discontinuity identification method on the basis of high-precision UAV (unmanned aerial vehicle) point clouds, integrating principal component analysis (PCA), multi-channel gradient fusion, and cascaded edge detection techniques. Applying this approach, a high-resolution UAV-derived 3D model was constructed, and surface discontinuities were systematically identified for a slope case study in the North Qinling Belt, Shanxi Province, China. Results demonstrate that the proposed method achieves effective discontinuity identification performance, cumulatively detecting 1401 discontinuities. Statistical analysis of the identified discontinuities reveals three dominant orientation groups: I: S085° E/80°, II: S015° W/15°, and III: S005° W/85°.
- 10 June 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (12) , 6510
Open AccessIntelligent Recognition of Rock Mass Discontinuities on the Basis of RGB-Enhanced Point Cloud Features
Rock slopes, composed of intact rock masses and relatively weak discontinuities, exhibit stability primarily governed by the spatial distribution of these discontinuities. Under the framework of structural control theory, acquiring discontinuity information is a fundamental prerequisite for rock slope stability analysis. However, advancements in measurement methods have significantly enhanced slope modeling precision while paradoxically reducing the efficiency of discontinuity data acquisition. To address this challenge, this study proposes a novel discontinuity identification method on the basis of high-precision UAV (unmanned aerial vehicle) point clouds, integrating principal component analysis (PCA), multi-channel gradient fusion, and cascaded edge detection techniques. Applying this approach, a high-resolution UAV-derived 3D model was constructed, and surface discontinuities were systematically identified for a slope case study in the North Qinling Belt, Shanxi Province, China. Results demonstrate that the proposed method achieves effective discontinuity identification performance, cumulatively detecting 1401 discontinuities. Statistical analysis of the identified discontinuities reveals three dominant orientation groups: I: S085° E/80°, II: S015° W/15°, and III: S005° W/85°.