Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 163 for “"LIDAR data"”.
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Using Lidar Data to Predict Photo Interpreted Attributes
Large datasets and robust workflows exist for both the photo interpretation and Lidar methodologies. Both methodologies have unique and non-overlapping strengths in describing forest conditions. Bridging the data products of these methodologies would expand the capabilities for both approaches. To …
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Three-Dimensional Building Reconstruction from Raw LIDAR Data
… (also called Light Detection and Ranging - LIDAR) which mounts a laser scanner on an aircraft. The aircraft scans the Earth's surface and captures data by emitting and receiving light pulses transmitted onto the terrain objects. The captured data are in three dimensions (3D); however no …
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Identification of Weather Conditions Related to Roadside LiDAR Data
Traffic data collection is essential for traffic safety and operations studies and has been recognized as a fundamental component in the development of intelligent transportation systems. In recent years, growing interest is shown by both industrial and academic communities in high-resolution data …
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Feature Extraction Workflows for Urban Mobile-Terrestrial LiDAR Data
Mobile Terrestrial LiDAR (MTL) is an active remote sensing technology that uses laser-based ranging and global positioning systems (GPS) to record 3D point location measurements on surfaces within and near transportation corridors, such as along a railroad track or a street. This thesis examines …
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On the Determination of Building Footprints from LIDAR Data
… processing of light detection and ranging (LIDAR) data is presented. The LIDAR data is processed and interpolated into a grayscale image of intensity values corresponding to height measurements. Ground measurements are separated from non-ground measurements by using a progressive …
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DTM Generation in Forested Areas from Full-Waveform Airborne LiDAR Data
… Model (DTM) extraction from full-waveform LiDAR data. Specifically, the primary goal was to develop a novel method to improve DTM extraction by utilizing low amplitude pulses that are generated by terrain under vegetation, but undetectable using traditional Gaussian decomposition …
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Advanced Methods for Change Detection in LiDAR Data and Hyperspectral Images
… improved and new sensors capable of acquiring data with high spatial and spectral resolution have been developed. Light Detection And Ranging (LiDAR) and Hyperspectral (HS) sensors acquire data that accurately characterize the 3-D structure and the spectral signature of the area of interest, …
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Deep Convolutional Neural Networks for Classification of Fused Hyperspectral and LiDAR data
Convolutional neural networks (CNN) have demonstrated excellent performance on
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Effects of Aerial LiDAR Data Density on the Accuracy of Building Reconstruction
… relationship between the density of aerial LiDAR input for building reconstruction and the accuracy of the resulting reconstructed models. We hypothesize a point of diminished returns at which higher data density no longer contributes meaningfully to higher accuracy in the end product. We …
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Automated segmentation, detection and fitting of piping elements from terrestrial LIDAR data
… the invention of light detection and ranging (LIDAR) in the early 1960s, it has been adopted for use in numerous applications, from topographical mapping with airborne LIDAR platforms to surveying of urban sites with terrestrial LIDAR systems. Static terrestrial LIDAR has become an especially …
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An Assessment of 3D Tracking Systems and Lidar Data for RPO Simulation
… rendezvous trajectory while collecting lidar data of a target spacecraft model with a lidar sensor affixed to the drone. A relative orbital motion simulation tool was developed to create trajectories of varying orbits and initial conditions, and a representative trajectory was selected …
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Automated sinkhole extraction and morphological analysis in northeast Iowa using high-resolution LiDAR data
1 PDF file (viii, 93 pages)
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Analysis of forest areas by advanced remote sensing systems based on hyperspectral and LIDAR data
… stem volume, height, etc. Hyperspectral and LIDAR remote sensing data can provide useful information to the identification of these attributes: hyperspectral data with their dense sampling of the spectral signatures are important for the classification of tree spe-cies, while LIDAR data are …
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Microphysical retrieval of non-spherical aerosol particles using regularized inversion of multi-wavelength lidar data
… type, and radiative forcing. Highly advanced lidars (light detection and ranging) have reduced aerosol monitoring and optical profiling into a routine process. Lidar data have been widely used to retrieve the size distribution through the inversion of the so-called Lorenz-Mie model (LMM). This …
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Nesting in the Clouds: Evaluating and Predicting Sea Turtle Nesting Beach Parameters from Lidar Data
… modeling. For habitat-specialized species, such data may not be sufficient to successfully capture the nuances of their preferred areas. Of particular concern are those species for which topographic feature attributes are a main limiting factor for habitat use. Coarse spatial resolution data can …
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White mica: spectrometer design, district-scale mapping, and integration of imaging spectrometer and lidar data
… orbital sensors. Combining imaging spectroscopy data with 3-D point cloud data produces a data set containing information on the composition and quantity of materials in an imaged area of interest. This dissertation applies imaging spectroscopy to the study of white mica in the context of mineral …
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Identification of barriers and least cost paths for autonomous vehicle navigation using airborne LIDAR data
… waypoints using no human guidance. Airborne LIDAR data and GIS can play a significant role in identifying barriers and least cost paths for such vehicles. Least cost paths minimize the sum of impedance across a surface. Impedance can be measured by steepness of slope, impenetrable barriers …
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Prediction of Foliar Biochemistry in a Boreal Forest Canopy Using Imaging Spectroscopy and LiDAR Data
The use of satellite and airborne remote sensing data to predict foliar macronutrients and pigments for a boreal mixedwood forest composed of black and white spruce, balsam fir, northern white cedar, white birch, and trembling aspen was investigated. Specifically, imaging spectroscopy (IS) and …
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