An Evaluation of Calibrated and Uncalibrated High-Resolution RGB Data in Time Series Analysis for Coal Spoil Characterisation: A Comparative Study

Ähnliche Einträge

• A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil
  von: Thiruchittampalam, Sureka, et al.
  Veröffentlicht: (2024)
• Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images
  von: Thiruchittampalam, Sureka, et al.
  Veröffentlicht: (2024)
• Development and Validation of an Integrated LiDAR-Camera System for Real-Time Monitoring of Underground Longwall Operations
  von: Ranasinghe, Pasindu, et al.
  Veröffentlicht: (2026)
• Automated Discontinuity Set Characterisation in Enclosed Rock Face Point Clouds Using Single-Shot Filtering and Cyclic Orientation Transformation
  von: Patra, Dibyayan, et al.
  Veröffentlicht: (2026)
• LiDAR Point Cloud Colourisation Using Multi-Camera Fusion and Low-Light Image Enhancement
  von: Ranasinghe, Pasindu, et al.
  Veröffentlicht: (2025)