TechRxiv

Bikram Banerjee

Publications

  • High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response
  • UAV-hyperspectral imaging of spectrally complex environments
  • Fusion of Spectral and Structural Information from Aerial Images for Improved Biomass Estimation
  • Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery
  • Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines
  • A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors
  • Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning
  • A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner
  • Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network
  • Corrigendum to: High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response
  • Alignment of UAV-hyperspectral bands using keypoint descriptors in a spectrally complex environment
  • A Preliminary Investigation of Mobile Mapping Technology for Underground Mining
  • Remote sensing to advance sustainable mining practices
  • Development of a UAV-mounted system for remotely collecting mine water samples
  • Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data
  • Erratum to: Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data (Int. J. Environ. Sci. Technol, (2016), 13, (1781-1792), 10.1007/s13762-016-1018-z)
  • Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data
  • Mapping of Complex Vegetation Communities and Species Using UAV-LIDAR Metrics and High-Resolution Optical Data
  • High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system
  • Automated hyperspectral vegetation index derivation using a hyperparameter optimization framework for high-throughput plant phenotyping
  • CBM: An IoT enabled LiDAR sensor for in-field crop height and biomass measurements
  • Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR
  • CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements

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