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 28 for “"vector data"”.
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Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
… Creation of the K chart is based on Support Vector Data Description (SVDD), a popular data classifier method inspired by Support Vector Machine (SVM). As any methods associated with SVM, SVDD benefits from a wide variety of choices of kernel, which determines the effectiveness of the whole …
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Data Visualization and Classification of Artificially Created Images
Visualization of multidimensional data is a long-standing challenge in machine learning and knowledge discovery. A problem arises as soon as 4-dimensions are introduced since we live in a 3-dimensional world. There are methods out there which can visualize multidimensional data, but loss of …
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Exploring the utility of a GIScience approach to modeling invasive species: A case study of Ailanthus altissima
… for integration of remotely sensed and GIS data into an agent-based modeling environment in order to model seed dispersal and subsequent establishment of windborne seeds. In order to explore the applicability of agent-based modeling to predicting seed dispersal, a case study was carried out …
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Vector Zonal Operations for Spatiotemporal Analysis
… of operations for manipulating raster geographic data. Zonal operations are one type of cartographic modeling operations where the spatial scopes of the operations are defines by zones. The conventional zonal operations only work with raster data and lack the capability of performing …
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Antialiasing methods for laser printers
… to function on two dimensional binary bitmaps of vector data. Computation issues are discussed, and a fast localized scan conversion operation based on statistical models is developed and evaluated. Finally, an architecture for the high bandwidth modulation of the laser by both power and time is …
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Faster k-means clustering.
… algorithm is used to discover clusters in vector data automatically. We present three accelerated algorithms that compute exactly the same clusters much faster than the standard method. First, we redesign Hamerly's algorithm to use k heaps to avoid checking distance bounds for all n points, …
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Automatic Updating of Cartographic Databases
To update a portion of an existing cartographic database, the common practice is to relate a new data file to an existing file by means of survey control points that are included in both files. The two digital maps may have different scales, different coordinate systems, and no identifying …
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A One Pass Line-Following Algorithm for Linear Feature Extraction
… algorithm for converting raster-scanned maps to vector format. By exploiting local geometric symmetries of multi-pixel-width line features in raster format, the algorithm follows the center of a line feature by maintaining an equal distance to the exterior of the feature in the two directions …
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COTS GIS Integration and its Soap-Based Web Services
… GIS software has the tendency to form fragmented data sets and to cause inconsistency. To accomplish data consolidation, we must achieve interoperability between different GIS tools. In my thesis project, I developed Vector and Raster Data Adapters to implement the spatial data consolidation. I …
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Modeling Error in Geographic Information Systems
… the methods available for analyzing error in GIS vector data. In particular, I am incorporating Bayesian methodology into the currently popular G-band error model through the inclusion of a prior distribution on point locations. This has the advantage of working well with a small number of points, …
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Analysis And Integration Of A Debris Model In The Virtual Range Projec
… as well as the integration of several raster and vector data sets which will provide the source data to compute the calculations. This research uses population data sets that allow the determination of the number of people at risk on the ground. The graphical and numerical analysis made can lead …
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Stokes polarimetric imaging and applications to novel materials
… optimized; as well as, the optical alignments, data analysis method, and image acquisition program implemented to provide an efficient operation of the microscope. The mapping of the polarization parameter provides a new way to research the characteristics of material; It also provides vector …
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Cartographic visualization of Saskatchewan’s population using dasymetric mapping.
… Saskatchewan’s population. Using ancillary data, the dasymetric method can redistribute statistical population data exclusively to areas identified as populated. As a basis for the research, 12 existing dasymetric methods were reviewed and evaluated for their applicability to Saskatchewan. …
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Management of spatial data for visualization on mobile devices
Vector-based mapping is emerging as a preferred format in Location-based Services(LBS), because it can deliver an up-to-date and interactive map visualization. The Progressive Transmission(PT) technique has been developed to enable the e�cient transmission of vector data over the internet by …
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Effects of Stream Order and Data Resolution on Sinuosity Using GIS
… order 3 in Virginia were considered. Several GIS datasets from various sources, including the Virginia Base Mapping Program (VBMP) and United States Geological Survey (USGS), were used to generate stream networks using GIS. Sinuosity was computed using GIS based on a technique comparable to the …
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One-class classification in the presence of point, collective, and contextual anomalies
… in the processing pipeline of any real-world data-driven application. Its central goal is to detect and separate valid data points from malicious-anomalous-ones such that the cleaned data set can be processed further. In many applications, anomalies are even the prime objects of interest and …
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Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB
… Also, the planning system requires building vector data, propagation model parameters, obstacle information, and antenna models which makes planning and optimization of an indoor system an extremely complex and tedious process. To account all these problems, a proper and simple propagation …
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Beyond the Bezel: Utilizing Multiple Monitor High-Resolution Displays for Viewing Geospatial Data
… for storing, creating, and manipulating spatial data, yet viewing area is still generally constrained to a single monitor. With this viewing window limitation, panning and zooming are required to view the full details of a map or image and, because of the large sizes of typical database, usually …
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An Ocean Surface Wind Vector Model Function For A Spaceborne Microwave Radiometer And Its Application
Ocean surface wind vectors over the ocean present vital information for scientists and forecasters in their attempt to understand the Earth's global weather and climate. As the demand for global wind velocity information has increased, the number of satellite missions that carry wind-measuring …
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Context-Based classification of objects in topographic data
Large-scale topographic databases model real world features as vector data objects. These can be point, line or area features. Each of these map objects is assigned to a descriptive class; for example, an area feature might be classed as a building, a garden or a road. Topographic data is subject …
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