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Showing 1 to 12 of 12 for “"Surface Classification"”.

  1. Autonomous model selection for surface classification via unmanned aerial vehicle

    … These robots need a method of classifying a surface to determine if it is a suitable installation site. Developing surface classification models manually requires significant time and detracts from the goal of automating systems. We create a system that automatically collects the data using …

    u-pacific Repository record for Autonomous model selection for surface classification via unmanned aerial vehicle (opens in a new tab)

  2. Real-Time Implementation of Road Surface Classification using Intelligent Tires

    … the interaction between the tire and the road surface determines the stability boundary limits of the vehicles. In this research, a real-time system to classify the road surface into five major categories was developed. The five surfaces include Dry Asphalt, Wet Asphalt, Snow, and Ice and dry …

    vt Repository record for Real-Time Implementation of Road Surface Classification using Intelligent Tires (opens in a new tab)

  3. A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation

    … distribution function (BRDF) for an object surface. The method uses a novel Markov Random Field (MRF) formulation on triplets of corner vertex nodes to model the probability of sets of reflectance parameters for arbitrary reflectance models, given probabilistic surface geometry, camera, …

    cape-town Repository record for A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation (opens in a new tab)

  4. Multispectral classification and reflectance of glaciers: in situ data collection, satellite data algorithm development, and application in Iceland & Svalbard

    … characteristics for several decades. Glacier surfaces can be classified into a range of facies, or zones, which can be used as proxies for annual mass balance and also play a significant role in understanding glacier energy balance. However, multispectral sensors were not designed explicitly …

    cambridge Repository record for Multispectral classification and reflectance of glaciers: in situ data collection, satellite data algorithm development, and application in Iceland & Svalbard (opens in a new tab)

  5. A process and investigation into the influence of cast surface condition on fatigue life

    … is to investigate the impact of varying cast surface conditions on fatigue performance, in the presence of other casting indications such as gas and shrinkage porosity. Additionally, this research aims to draw connections between nondestructive evaluation (NDE) techniques and fatigue results …

    iastate Repository record for A process and investigation into the influence of cast surface condition on fatigue life (opens in a new tab)

  6. Grupos fundamentales de superficies

    … on the calculation of the fundamental groups of surfaces. Before dealing with the fundamental groups of surfaces, some general notions about general topology are given, what is a manifold with border and without border is introduced, as well as a little study of Group Theory. The second chapter …

    u-elsalvador Repository record for Grupos fundamentales de superficies (opens in a new tab)

  7. Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask

    … of sun-view geometry, day of year and surface type, including a novel surface classification scheme derived from the Multi-Angle Implementation of Atmospheric Correction Bi-Directional Reflectance Distribution Function (MAIAC BRDF) data set. The cloud mask algorithm works by checking if …

    uiuc Repository record for Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask (opens in a new tab)

  8. Cargo Shipping Demand Modeling, Infrastructure Mapping, And Emission Impacts Of Selected U.S. Ports

    … of the calibrated built-up area and natural surfaces (bans) classification of infrastructure features and landuse, (4) estimate cargo shipping volumes using automatic identification system (ais) for selected shipping routes and calculate related co2 emissions and their impacts. Case studies …

    mississippi Repository record for Cargo Shipping Demand Modeling, Infrastructure Mapping, And Emission Impacts Of Selected U.S. Ports (opens in a new tab)

  9. Geospatial Assessment of Port Infrastructure and Computational Modeling of Coastal Disasters

    … multispectral satellite imagery, the L-BANS surface classification, and the 2011 National Land Cover Database (NLCD) were implemented to determine an efficient method for identifying and mapping the built infrastructure, land use features and non-built areas. The study sites included the …

    mississippi Repository record for Geospatial Assessment of Port Infrastructure and Computational Modeling of Coastal Disasters (opens in a new tab)

  10. Evaluation of the feasibility of posting reduced speed limits on Kansas gravel roads

    … speed limit established by the Kansas Statutes. Surface conditions of gravel roads are very likely to change with time, space, and quality of maintenance work, making it even more necessary to have proper control of speeds on gravel roads. Normally used speed regulations and rules for freeways or …

    ksu Repository record for Evaluation of the feasibility of posting reduced speed limits on Kansas gravel roads (opens in a new tab)

  11. Surface hydrologic modeling and GIS: a case study of the Kaimai Hydropower project catchment, New Zealand

    … of spatial hydrologic modeling for use in surface runoff estimation while emphasizing the importance of GIS data quality and discussing the latest developments in the field of GIS. This study has developed a number of techniques to improve the usefulness of GIS for surface hydrologic …

    waikato-masters Repository record for Surface hydrologic modeling and GIS: a case study of the Kaimai Hydropower project catchment, New Zealand (opens in a new tab)

  12. Extreme weather disaster resilient port and waterway infrastructure for sustainable global supply chain

    … satellite imagery based methodology for mapping surface types and landuse, and (3) assessing the impact of coastal disasters and climate related sea level rise. The Autoregressive Integrated Moving Average (ARIMA) model equations, the Artificial Neural Networks (ANN) models, and regression …

    mississippi Repository record for Extreme weather disaster resilient port and waterway infrastructure for sustainable global supply chain (opens in a new tab)