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 17 of 17 for “"object based image analysis"”.
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Object-based image analysis for detecting landforms diagnostic of natural hazards
… these processes in the first place, partly based on the diagnostic landforms that they form. To perform this effectively, automatic methods are desirable. Universal detection of natural hazards is challenging due to their differences in spatial impacts, timing and longevity of consequences, …
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An object-based image analysis approach for detecting urban impervious surfaces
… impervious surfaces from high spatial resolution imagery with pixel-based techniques have proven to be unsuitable for automated classification because of its high spectral variability and complex land covers in urban areas. Accurate and rapid classification of impervious surfaces would help in …
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Advancing Arctic coastal erosion measurement and monitoring through UAV-SfM, satellite imagery, and object-based image analysis
… of erosion. UAV-SfM provides aerial and DSM imagery at unprecedented spatial and temporal resolution that provides perspectives and quantitative measures that are unachievable using conventional methods and very high resolution satellite imagery enables broader scale multiple proxy analysis …
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Propuesta metodológica para la planificación y gestión de los espacios protegidos red natura 2000, utilizando teledetección (análisis de imágenes en base a objetos) y sistemas de información geográfica = Methodological proposal for planning and managing protected natura 2000 areas, using remote sensing (object based image analysis) and geographic information systems.
… a correct management in Natura 2000 network. The objectives at this network require the inclusion of new aspects in the traditional forest planning. The “method of managing forest by stands” is appropriate for these requirements because of its flexibility. For monitoring, evaluating the …
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Feature Extraction Workflows for Urban Mobile-Terrestrial LiDAR Data
… 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 geovisualization for improving …
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Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms
… diverse range of high quality 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 …
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Data-driven methods for the extraction, grouping and application of terroir units
… by the transition from subjective, expert-based methods to objective and transparent methods. The use of subjective expert knowledge to inform zone boundaries can lack empirical evidence, making the justification of zone boundaries challenging. Modern methods derive zone boundaries based on …
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Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms
… watershed near Bluffton, South Carolina. An object-based image analysis (OBIA) approach was adopted for mapping the following detailed tidal marsh classes: tall creekbank spartina alterniflora, intermediate spartina alterniflora, exposed mudflats, salicornia/short spartina and juncus …
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An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - in Seattle and Malmö
… to context but one structure that is primed for analysis, due to its clear outcome objectives and transparent structure, is the use of a weighted-point system landscape policy. The objective of this thesis is to test the applicability of a methodological evaluation of weighted-point landscaping …
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Monitoring Global Forest Land-Use and Change
… context for estimating true human land use. The objective of this dissertation is to address this gap by exploring how forest land use can be mapped and monitored using medium spatial resolution optical satellite imagery in order to estimate forest land use change over time for large geographic …
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A multi-temporal image analysis of habitat modification in the Coastal Watershed, NH
… ways of using remote sensing techniques, such as object-based image analysis (OBIA) and multi-temporal image analysis, to create accurate land cover maps and corresponding fragmentation metrics. These products were then used to determine if habitats of interest in the Coastal Watershed were …
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Latent Dirichlet Variational Autoencoder: a novel approach for hyperspectral image analysis and pixel unmixing exploring deep learning architectures
This thesis investigates deep learning-based methods for hyperspectral image analysis, focusing on pixel unmixing and classification tasks. Recognizing the challenges of high data dimensionality and limited labeled data availability, this research proposes innovative techniques to improve both the …
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Automated Mapping of Lava: Classification of the Lava Flow Field from the 2021 Fagradalsfjall Eruption
… for mapping the lava flow field outline based on favorable results. Orthomosaics and layers derived from Digital Elevation Models (DEMs) were used for training of a Random Forest classifier. Manually digitized outlines of the lava flow field were used as ground truth; the result is a …
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Determining estuarine seagrass density measures from low altitude multispectral imagery flown by remotely piloted aircraft
… sensing methods using satellite and aircraft imagery enable mapping of seagrass populations at landscape scale. Aerial monitoring of a seagrass population can require imagery of high spatial and/or spectral resolution for successful feature extraction across all levels of seagrass density. …
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Drivers of landscape evolution in northern ecosystems: Shrub expansion, vegetation-fire interaction, and permafrost degradation
… by creating a new index to measure fire severity based on the plant functional types present on the ground. Current fire metrics are largely insensitive to ground vegetation, but different plant functional types have different properties as fuels and in recovery after a fire. Based on …
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Wetland landscape dynamics and its socio-ecological implications
… into four parts. The first part employed an object-based image analysis (OBIA) approach for image classification performed in ENVI software. This approach involves segmentation and grouping imagery into objects to preserve the spatial, spectral, and temporal scale. Two classification …
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Flood risk assessment using multi-sensor remote sensing, geographic information system, 2D hydraulic and machine learning based models
… and forecast flooding from recent satellite imagery. Firstly, a model was proposed to monitor changes in surface runoff and forecast future surface runoff on the basis of land use/land cover (LULC) and precipitation factors because the effects of precipitation and LULC dynamics have directly …