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 4 of 4 for “"UAS imagery"”.
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Application of unmanned aerial systems and deep learning in high-throughput plant phenotyping
… innovations in unmanned aerial systems (UAS) with various sensors provide high-resolution data for high-throughput plant phenotyping. UAS image-based machine learning algorithms have been applied in plant phenotyping. However, only limited studies have evaluated the performance of using …
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Advancing Vegetation Monitoring Strategies in Arid Ecosystems Using Unmanned Aircraft Systems
… and soil composition. Unmanned Aircraft Systems (UAS) offer centimeter-scale spatial resolution and flexible deployment that can better address the scale of these communities. This work explores two complementary approaches for integrating UAS into scalable and adaptable vegetation monitoring …
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Detection of Tornado Damage via Convolutional Neural Networks and Unmanned Aerial System Photogrammetry
… innovations in automated damage assessments and UAS collection capabilities. However, little work has been done to explore the intersection of automated methods and UAS photogrammetry to detect tornado damage. UAS imagery, combined with Structure from Motion (SfM) output, can directly be used to …
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Toward Global Localization of Unmanned Aircraft Systems using Overhead Image Registration with Deep Learning Convolutional Neural Networks
… in which an unmanned aircraft system (UAS) estimates its unknown current location without access to its take-off location or other locational data from its flight path, is a challenging problem. This research brings together aspects from the remote sensing, geoinformatics, and machine …