Huda, N.U.
* 2018: Estimating the Number of Soccer Players Using Simulation-Based Occlusion Handling
Huda, S.[Shamsul]
* 2009: stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model, A
* 2023: Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network
Huda, W.[Walter]
* 1999: Circle recognition through a 2D Hough Transform and radius histogramming
Hudacko, T.
* 1992: Closing Gaps in Edges and Surfaces
Hudak, A.
* 2012: Utility of Remotely Sensed Imagery for Assessing the Impact of Salvage Logging after Forest Fires
* 2019: Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR
Includes: Hudak, A. Hudak, A.[Andrew]
Hudak, A.T.[Andrew T.]
* 2007: Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments, A
* 2009: LiDAR Utility for Natural Resource Managers
* 2011: Comparison of Two Open Source LiDAR Surface Classification Algorithms, A
* 2017: Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest
* 2018: Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy
* 2020: Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data
* 2020: Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study
* 2020: Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models
* 2020: Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data
* 2021: Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon
* 2022: Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA
* 2022: Evaluating the Use of Lidar to Discern Snag Characteristics Important for Wildlife
* 2022: Influence of UAS Flight Altitude and Speed on Aboveground Biomass Prediction
* 2023: Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics
* 2023: Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem
Includes: Hudak, A.T.[Andrew T.] Hudak, A.T. Hudak, A.T.[Andrew Thomas]
15 for Hudak, A.T.
Hudas, G.R.[Gregory R.]
* 2023: Anomaly Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement Learning