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 8 of 8 for “"Satellite Image Analysis"”.
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Satellite Image Analysis and Sidewalk Classification using Deep Learning Models
… accuracy.</p> <p>The dataset comprises 4,731 images of sidewalk based on occlusion levels, including images where the sidewalk is visible from overhead and instances where sidewalk is occluded by tree canopies, buildings, or vehicles etc. These images were collected manually using ArcGIS Pro …
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Augmenting data for Urban Metabolism of cities Tool using Machine learning and Satellite Image Analysis of city
We use image analysis to augment data about a city’s material flow or material stock.We take existing data about cities such as energy consumption,biomass,water consumption,energy production and construction material either at the city level or national level and add data from satellite based …
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The use of geospatial tools to support, monitor and evaluate post-disaster recovery
… recovery indicators, suitable for remote sensing analysis, are presented and assessed through a user needs survey. In chapter 3, the six recovery categories and thirteen indicators identified in the literature review form a framework for the retrospective analysis of recovery in Thailand and …
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Impact of Human Activity on Protected Areas: A case study of Nech Sar National Park in Ethiopia
… discussions, interviews and questionnaires. Satellite images were used to assess the impact of human activity on the aquatic ecosystems of the park. Examination of the natural regeneration status showed that, the ground water vegetation of the park is not maintaining the natural regeneration …
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Landscape evolution of the Umbum Creek Catchment, Western Lake Eyre, Central Australia.
… Several methods were employed including satellite image analysis, geomorphometry, geological mapping, regolith mapping and surveying. Outcomes indicate that the underlying structural fabric of the basement has controlled the development of the surface morphology of the Umbum Creek …
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Feedback convolutional neural network in applications of computer vision
… model for building the bottom-up selectivity of images has been built, using the scale space theory. The method uses a statistical way to build hierarchical presentations of image content on different scales, and an unsupervised approach to derive a measurement of “objectness,” which is further …
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Weak-Supervised Deep Learning Methods for the Analysis of Multi-Source Satellite Remote Sensing Images
Satellite remote sensing has revolutionized the acquisition of large amounts of data, employing both active and passive sensors to capture critical information about our planet. These data can be analysed by using deep learning methodologies that demonstrate excellent capabilities in extracting the …
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Data-driven prediction of saltmarsh morphodynamics
Saltmarshes provide a diverse range of ecosystem services and are protected under a number of international designations. Nevertheless they are generally declining in extent in the United Kingdom and North West Europe. The drivers of this decline are complex and poorly understood. When considering …