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 10 of 10 for “"height estimation"”.
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Using UAV Mounted LiDAR to Estimate Plant Height and Growth
… thesis, we develop algorithms to estimate crop heights as well as to detect plots infarms. Plant height estimation is needed in precision agriculture to monitor plant health andgrowth cycles. We use a 3D LiDAR mounted on an Unmanned Aerial Vehicle (UAV) anduse the LiDAR data for height and plot …
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Topics in CT and SAR Imaging: Fast Back -Projection Algorithms and Optimal Antenna Spacings
… optimal antenna spacings for pointwise terrain height estimation. In particular, we start from the maximum likelihood estimates of the terrain height. The ambiguous terrain height derived from any pair of antennas is modeled by a periodic waveform with each period having a Gaussian shape. For …
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FUSING GEDI LIDAR AND TANDEM-X INSAR OBSERVATIONS FOR IMPROVED FOREST STRUCTURE AND BIOMASS MAPPING
… terrain model (DTM) was utilized to improve height estimation from TDX. Forest heights were initially derived from TDX coherence alone as a baseline using the widely used Random Volume over Ground (RVoG) scattering model. Here, assumptions about RVoG parameters – extinction coefficient (σ) …
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Electromagnetics in characterizations
… value of the differential impedance. Baseline estimation for synthetic aperture radar interferometry is used to refine the height estimation of the resulting digital elevation map. Furthermore, preprocessing is used to reduce the effects of local phase inconsistencies caused by noise. By …
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A real time 3D surface measurement system using projected line patterns.
… by a laser projector. Additionally, multiple height calculation methods and a spatial Kalman filter are proposed for optimal height estimation. The final research theme is to achieve real time 3D measurement. The vision system is expected to be installed on production lines for online quality …
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A Deep Learning Study on the Retrieval of Forest Parameters from Spaceborne Earth Observation Sensors
… and convolutional neural networks for canopy height estimation at country scale. To achieve this, a novel deep learning framework is proposed, leveraging the capability of deep neural networks to effectively capture the complex spatial relationships between forest properties and satellite …
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Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data
… accuracy assessment metrics. Building height is critical for building 3D structure extraction. As data sources for height estimation, digital surface models (DSMs) that are derived from stereo images using existing software typically provide low accuracy results in terms of rooftop …
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Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States
… shown to enable accurate estimates of forest height. Lidar does produce precise measurements for ground elevation and forest height, where and when it is available. However, it is expensive to collect and does not have wall-to-wall coverage in the United States. In this study, we estimated …
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A coordinated UAV deployment based on stereovision reconnaissance for low risk water assessment
… are capable of accurately estimating the wave height in an aquatic environment, if the region identified by the leader is characterised as having a low wave height, the area is deemed suitable for landing. A second UAV, “the follower UAV”, equipped with a payload such as an Autonomous …
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Phenotyping Canola (Brassica napus L.) Agronomic Traits and Estimating Seed Yield Using Unoccupied Aerial Vehicle (UAV)-based Multispectral Imagery
… flowering number, flowering layer depth, canopy height, and seed yield using UAV-based multispectral imagery collected during the entire crop season. Canola field experiments were conducted using 56 diverse Brassica genotypes under diverse environments from 2016 to 2018 in central Saskatchewan. A …