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 56 for “"Aerial images"”.
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Feature detection in grayscale aerial images
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
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Low level and intermediate level vision in aerial images
… Examples are presented in the scene domain of aerial images of urban scenes containing man-made structures. The techniques used are based on a common structural and statistical model of the image data. This model assumes that the image data is adequately represented locally by a bivariate cubic …
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Classification of Fallow and Perennial Fields in High-Resolution Multispectral Aerial Images
… feature space. In the second approach, a set of images is used to generate a texton dictionary from which exemplar texture probabilistic models are learnt. Three transform-based techniques are applied for computing texture features. Experimental results validate that a texture-based machine …
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New methods to improve detection and classification on waterfowl and tree in aerial images
… potential in detecting waterfowl from aerial images. This dissertation introduces several innovative methods to enhance waterfowl detection and classification. First, the Self-Rectification Network (SRN) was developed to improve detection performance in complex backgrounds by reducing …
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High-throughput phenotyping using aerial images for the prediction of agronomic traits in soybean
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Estimating Poverty from Aerial Images Using Convolutional Neural Networks Coupled with Statistical Regression Modelling
… modelling can be used to estimate poverty from aerial images supplemented with national household survey data. This provides a more frequent and automated method for updating data that can be used for policy making. This aerial poverty estimation approach is executed in two phases; aerial …
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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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A line photogrammetry algorithm for 3D rectilinear object reconstruction
… line in space using two or more oriented images of that line. The algorithm presented is intended for object reconstruction and is motivated by the need to reconstruct man-made objects in urban areas, such as buildings and the industrial inspection arena. The method aims to obtain a …
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VLEO-Bench: A Framework to Evaluate Vision-Language Models for Earth Observation Applications
… unclear to what extent capabilities on natural images transfer to Earth observation (EO) data, which are predominantly satellite and aerial images less common in VLM training data. In this work, we propose VLEO-Bench, a comprehensive evaluation framework to quantify the progress of VLMs toward …
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Advancing Vegetation Monitoring Strategies in Arid Ecosystems Using Unmanned Aircraft Systems
… photogrammetric workflows by treating individual aerial images as independent sampling units. These approaches together illustrate how UAS can bridge the gap between fine-scale and landscape-scale vegetation monitoring, enabling flexible, scalable workflows that adapt to management priorities and …
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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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Towards On-Device Detection of Sharks with Drones
… MobileNet in detecting sharks from a data set of aerial images created by a collaboration between Cal Poly and CSU Long Beach’s Shark Lab. We conclude that SSD MobileNet does suffer from some accuracy issues with smaller objects in particular, and we note the importance of customized anchor box …
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Automatic UAV image registration using feature detection and matching with satellite imagery
… to perform image registration with unprocessed aerial images captured with a UAV. Aerial imagery is used in a large variety of applications including disaster relief, urban planning, crop and vegetation monitoring, and mapping. The common difficulty in utilizing aerial imagery captured by …
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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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Autonomous altitude estimation of a miniature helicopter using a single onboard camera.
… estimation of the altitude of an Unmanned Aerial Vehicle (UAV) is extremely important when dealing with flight maneuvers like landing, steady flight, etc. Vision based techniques for solving this problem have been underutilized. In this thesis, we propose a new algorithm to estimate the …
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Matching remote sensing images.
… in many computer vision applications in which images of the same scene with different geometrical orientations need to be compared for further processing. This thesis describes the design and implementation of a model-based vision system for the recognition of aerial images. The main objective …
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RESISTIVITY IMAGING OF PROMINENT SEEPAGE PATHWAYS IN KARST TERRAIN
… surface waves (MASW), borehole control (BC), and aerial imagery (AI) were supplementally used to constrain the ERT data interpretations.</p> <p>This research addressed six objectives. First, the ERT data interpretations were verified in terms of depth to the top of bedrock, fractures/voids, and …
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