Hopke, M.[Martin]
* 2020: CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations
Includes: Hopke, M.[Martin] Höpke, M.[Martin] (Maybe also Hoepke, M.)
Hopkin, J.[Jean]
* 2019: Investigation of the costs, benefits and funding models for two bundles of cooperative intelligent transport system services
Hopkins, P.F.
* 1996: Digital System for Surface Reconstruction, A
Hopkins, R.[Robert]
* 1993: Progress on HDTV broadcasting standards in the United States
Hopkins, S.
* 1989: Parallel Imperative and Functional Approaches to Visual Scene Labelling
Hopkins, T.
* 2004: Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder
* 2004: Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder
Hopkinson, B.M.
* 2018: Comparison of Deep Learning Methods for Semantic Segmentation of Coral Reef Survey Images, A
* 2021: Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep Learning
* 2022: High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM
* 2022: Object Detection in 3D Coral Ecosystem Maps from Multiple Image Sequences
Includes: Hopkinson, B.M. Hopkinson, B.M.[Brian M.]
Hopkinson, C.[Chris]
* 2006: Examining the Influence of Changing Laser Pulse Repetition Frequencies on Conifer Forest Canopy Returns
* 2007: Modelling Canopy Gap Fraction from Lidar Intensity
* 2007: Using Airborne Lidar for the Assessment of Canopy Structure Influences on CO2 Fluxes
* 2014: Slope Estimation from ICESat/GLAS
* 2017: Estimating Canopy Gap Fraction Using ICESat GLAS within Australian Forest Ecosystems
* 2018: Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks
* 2018: Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada, A
* 2019: Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results
* 2019: Investigating the Consistency of Uncalibrated Multispectral Lidar Vegetation Indices at Different Altitudes
* 2019: Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles
* 2019: SAR and Lidar Temporal Data Fusion Approaches to Boreal Wetland Ecosystem Monitoring
* 2020: Automated SAR Image Thresholds for Water Mask Production in Alberta's Boreal Region
* 2020: Forest Inventory and Diversity Attribute Modelling Using Structural and Intensity Metrics from Multi-Spectral Airborne Laser Scanning Data
* 2020: Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management
* 2020: Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change
* 2020: Repeat Oblique Photography Shows Terrain and Fire-Exposure Controls on Century-Scale Canopy Cover Change in the Alpine Treeline Ecotone
* 2020: See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
* 2020: Wetland Hydroperiod Change Along the Upper Columbia River Floodplain, Canada, 1984 to 2019
* 2021: Remote Sensing of Wetlands in the Prairie Pothole Region of North America
* 2022: 3D Graph-Based Individual-Tree Isolation (Treeiso) from Terrestrial Laser Scanning Point Clouds
* 2022: Multisource Vegetation Inventory (MVI): A Satellite-Based Forest Inventory for the Northwest Territories Taiga Plains, The
* 2022: Quantifying Lidar Elevation Accuracy: Parameterization and Wavelength Selection for Optimal Ground Classifications Based on Time since Fire/Disturbance
Includes: Hopkinson, C.[Chris] Hopkinson, C. Hopkinson, C.[Christopher]
22 for Hopkinson, C.