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.
Results
Showing 1 to 20 of 87 for “"aerial imagery"”.
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Robust road topology extraction from aerial imagery
… inferring the road network graph from aerial imagery provides a promising avenue to reducing the cost of maintaining road maps, but existing inference methods have poor precision. This thesis develops a novel iterative graph construction process for extracting graph structures from …
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Road Traffic Flow Prediction Using Aerial Imagery
… with limited features, we propose leveraging aerial traffic data to train spatiotemporal models with richer feature spaces. Our research makes contributions towards assembling a dataset from aerial footage and predicting traffic across a road network given aerial images from a small set of …
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Applications of aerial imagery in identification of natural areas
1 PDF file (vii, 82 pages)
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Informal settlement modeling using digital small-format aerial imagery
… this stratedy include: (1) the use of color orthoimagery and digital surface model (DSM) generated from high-resoltion small-format digitial aerial imagery, (2) the separation of the shack reconstruction task into automated shack detection and interactive shack delineation, (3) the integration of …
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Enriching Digital Maps with Aerial Imagery and GPS Data
… for enriching digital street maps from aerial imagery and GPS data. Digital street maps consist of a collection of geometry structures such as a road graph and the semantics associated with the structures, such as the lane count and the speed limit of a road segment. This thesis first …
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Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision
Advances in Computer Vision and Aerial Imaging have enabled countless downstream applications. To this end, aerial imagery could be leveraged to analyze the usage of parking lots. This would enable retail centres to allocate space better and eliminate the parking oversupply problem. With this use …
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Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection
Visual perception has been a significant subject matter of robotics research for decades but has accelerated in recent years as both technology and community are more prepared to take on new challenges with autonomous systems. In this thesis, a framework for 3D reconstruction using a stereo camera …
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Toward Trustworthy Power Line Perception from Aerial Imagery: Segmentation and Reliability Monitoring
… hazardous. With the increasing use of unmanned aerial vehicles (UAVs), automated vision systems have emerged as a promising alternative for large-scale aerial inspection. A key component of these systems is power line segmentation, which supports downstream tasks such as clearance analysis, …
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Archaeological Prospecting Using Historic Aerial Imagery: Investigations in Northeast and Southwest Arkansas
… research investigates the potential of historic aerial photographs as a tool for archaeological site prospecting. Craighead and Mississippi Counties in northeast Arkansas and areas adjacent to the Red and Little Rivers in southwest Arkansas were chosen as study areas. These regions have undergone …
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Using artificial intelligence to predict NDVI/NDRE from standard RGB aerial imagery
The student, Corey Davidson, submitted this Thesis for approval on 2021-07-05 at 17:13.
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Computer vision-based post-disaster needs assessment from low altitude aerial imagery
… the United States Civil Air Patrol (CAP) gathers aerial imagery of the impacted areas. However, these high resolution and timely images are seldom used for quantitative assessment of damage. This thesis focuses on the following question: How can we use modern computer vision techniques to utilize …
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Optimizing Bermudagrass Management Strategies Using Aerial Imagery and Wireless Capacitive Soil Sensors
… to enhance understanding of how small unmanned aerial vehicles and wireless capacitive soil sensors can aide in expediting data collection for actionable decision making related to irrigation practices and winterkill stress mitigation. The first study assessed the impact of morning leaf wetness …
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Using machine learning methods to estimate spruce tree crown and DBH from aerial imagery
… estimate the biomass volume of spruce trees from aerial top-view images. Since the aerial images are only show the tree crown shapes, we set up the relationship between tree crown diameter (TCD) and Diameter of tree Breast Height (DBH), and this DBH can be further used to estimate the tree biomass …
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Monitoring and mapping the critically endangered Clanwilliam cedar using aerial imagery and deep learning
… on the use of freely available Google EarthTM imagery to manually map the species across its global native distribution. This study advances this work by proposing an approach for automating the process of tree detection using deep-learning. The approach involves using sets of high-resolution …
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Applying Rotation-Equivariant Deep Learning to Cloud and Road Segmentation in Satellite and Aerial Imagery
Satellite and aerial images have many applications – images of clouds and roads are of particular relevance to this thesis. Satellite images of clouds are frequently used for climate monitoring, weather tracking, satellite instrument calibration, and on-orbit autonomy; satellite and aerial images …
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Deep Learning for Early Detection, Identification, and Spatiotemporal Monitoring of Plant Diseases Using Multispectral Aerial Imagery
… the widespread availability of multispectral aerial imagery provide a cost-effective method for developing crop-diseases classification tools. However, large datasets are required to train deep learning models, which may be costly and difficult to obtain. Fortunately, models trained on one …
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The development of a method for semi-automatic classification of built-up areas from aerial imagery
… 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 and climatological conditions differ from one area to another, a general and robust method that can be …
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