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 11 of 11 for “"object-based classification"”.
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An Alternate Approach to Ecosystem Mapping: Fusing Orthophotography with LANDSAT ETM+ Data for a Object-Based Classification, South Eastern Arkansas.
… temporal properties, and processed to obtain a object-based classification of land cover of bottomland and pine hardwood forest in south eastern Arkansas. Three classification techniques were evaluated: 1) a human derived, rule based method, 2) A nearest neighbor classification using only the …
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An investigation into pixel- and object-based classification approaches for the detection of dolines on the surface of Antarctic ice shelves
… investigate the applicability of automated image classification methods to the detection of dolines. On the basis of Sentinel-2 satellite imagery, pixel- and object-based approaches are compared. For both approaches, two random forest classifiers are trained, one based on manually sampled training …
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The Use of Object-Based Classification of High Resolution Panchromatic Satellite Imagery for the Inventory of Shelterbelts in the Province of Saskatchewan
… textures, and spatial relationships with other objects within the landscape. Object-based image classification methods are well suited to segmenting remotely sensed imagery based on these characteristics and have the potential to be used for delineating shelterbelts. In this thesis, Definiens …
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Mapping urban forest extent and modeling sequestered carbon across Chattanooga, TN using GIS and remote sensing
… this research 1) applied supervised hybrid classification across Landsat imagery that quantified the extent of urban forest loss across Chattanooga between 1984 and 2021, 2) modeled the carbon sequestered in the biomass of Chattanooga’s urban trees using field data and vegetation indices, …
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Hurricane and human-induced habitat changes on Fire Island and Westhampton Island, New York, and the effects on breeding piping plovers (Charadrius melodus)
… areas. We created land cover maps using an object-based classification method (overall accuracy 85%), and field-collected data from four post-hurricane habitat types. Vegetation cover increased across all habitat types, especially in manipulated (30.1% increase) and natural overwashes (37.9% …
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The development of a method for semi-automatic classification of built-up areas from aerial imagery
… in the production process at CD: NGI. The objective of this research is to develop a process for semi-automatic classification of built-up areas from aerial imagery in South Africa. Built-up areas are important as they can grow and change rapidly. Since the South African landscape is varied …
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Forest fragmentation mapping, change detection, and gas well site identification in remotely sensed imagery: the role of spatial resolution
… impacts of gas well drilling. I found that object-based classification is not significantly more accurate than pixel-based classification and accuracy does not vary with spatial resolution. However, object-based classifications were qualitatively more suitable for identifying land cover …
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Characterizing Impacts of and Recovery from Surface Coal Mining in Appalachian Forested Landscapes Using Landsat Imagery
… lands through three separate studies. The objective of the first study was to assess whether surface coal mines in the forested central Appalachian regions of the US can be separated from the other prevalent forest-replacing disturbances through analysis of an interannual chronosequence of …
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Web-based GIS modelling of building-integrated solar photovoltaic system for the City of Cape Town
… is achieved by developing a unique two-in-one, object-based classification rulesets; (2) estimating and validating the global solar radiation incidence on each roof plane, using a LiDAR-derived elevation model in a python script utilizing the GRASS script library; (3) evaluating the solar …
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Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms
… data sources and image analysis techniques. Object-based image analysis (OBIA) and machine learning algorithms are recent advances, which this thesis evaluates. OBIA and machine learning algorithms are first tested using a combination of multiple datasets for identifying individual tree …