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 27 for “"remote sensing imagery"”.
-
Automated Building Extraction from Remote Sensing Imagery Using Deep Learning
… first, building segmentations are predicted from remote sensing images using deep neural networks; next, the irregular-shaped building segmentations are regularized into straight-edged and right-angle-cornered building polygons using conventional or deep learning-based methods. As a result, the …
-
Broad-scale Assessment of Crop Residue Management Using Multi-temporal Remote Sensing Imagery
… cost-effective manner using Landsat TM and ETM+ imagery, which is addressed in three separate studies. The first study found that previous efforts to estimate CRC along a continuum using Landsat-based tillage indices were unsuccessful because they neglected the key temporal changes in …
-
Leveraging Street View and Remote Sensing Imagery to Enhance Air Quality Modeling through Computer Vision and Machine Learning
… In recent years, innovative open-source imagery datasets and their associated features (e.g., street view imagery, remote sensing imagery) have emerged and show potential to augment or replace traditional LUR predictors. Such imagery data sources embody abundant information of natural and …
-
Mapping Building Damage Caused by Earthquakes Using Satellite Imagery and Deep Learning
… building conditions for further planning rescue. Remote sensing has the ability to quickly capture the information of damaged buildings in a large area, and remote sensing imagery has been used by government organizations, international agencies, and insurance industries for assessing post-event …
-
Satellite Image Processing for Remote Sensing Applications
… image compression with particular reference to remote sensing imagery. The research described was carried out in four specific areas, namely, discrete cosine transform (DCT) for remote sensing imagery, lossless image compression based on conditional statistics, exploiting interband redundancy …
-
A Cognitive Assessment of Post-Disaster Imagery Requirements
<p>Remote sensing imagery plays a crucial role in emergency management when hazard and disaster events happen. Rapid damage assessment is time-critical to distribute accessible response resources and accelerate relief efforts. Currently there are many researchers focusing on post-disaster damage …
-
Remote Sensing and Spatial Distribution Patterns of Guyanese Resource Palms
… an extensive examination of the application of remote sensing imagery for the detection of Arecaceae at both regional and local scales within the previously understudied nation of Guyana. Subsequently, the detected specimens of Arecaceae are used to answer critical questions concerning the …
-
Machine Learning and remote sensing applications to shoreline dynamics
… of Big Datasets, including multispectral remote sensing imagery, is providing new opportunities to monitor engineering scale rates of shoreline change and other constituents of coastal risk, including changes to human coastal population densities. This increase in data availability comes …
-
Characterizing Habitat and Densities of the Mojave Desert Tortoise (Gopherus agassizii) at Multiple Spatial Scales
… densities at smaller scales satellite derived remote sensing imagery proves to be too coarse for analyses at these scales. Remote sensing imagery derived from unmanned aerial vehicles (UAV) has recently become a viable option for obtaining data at these scales for various types of analyses. …
-
Mapping and Modelling of Vegetation Changes in the Southern Gadarif Region, Sudan, Using Remote Sensing
… of techniques. Beside the intensive use of remote sensing imagery, interviews with key informants and farmers as well as detailed field surveys were carried out. Multi-temporal analyses of remote sensing imagery showed that during the seventies the average natural vegetation clearing rate …
-
Application of deep learning to land cover classification: practical issues and strategies
… have been proposed and tested on satellite imagery. This study takes a practically oriented approach, in which we train a classic convolutional neural network (CNN) model on a novel labeled image dataset, then use the model to segment Sentinel-2 satellite images and classify the land cover …
-
Analysis of Multiresolution Data fusion Techniques
In recent years, as the availability of remote sensing imagery of varying resolution has increased, merging images of differing spatial resolution has become a significant operation in the field of digital remote sensing. This practice, known as data fusion, is designed to enhance the spatial …
-
A Data Fusion Framework for Floodplain Analysis using GIS and Remotely Sensed Data
… research was conducted to determine how remotely sensed data can effectively be used to produce accurate flood plain maps (FPMs), and to identify/quantify the sources of error associated with such data. Differences were analyzed between flood maps produced by an automated remote sensing …
-
Enhancing dimensionality in remote sensing images
Remote sensing relies on diverse imaging modalities to capture critical information about the Earth’s surface. These modalities include panchromatic images, which are single-band grayscale representations; multispectral images, capturing a limited number of spectral bands; and hyperspectral images, …
-
Detecting long-term trends in water quality parameters using remote sensing techniques
… are not widely available. Moderate resolution remote sensing imagery is a rich and temporally extensive source of information about ecological systems and may be useful for detecting past and predicting future changes in estuarine ecosystems. I evaluated the use of moderate resolution Landsat-5 …
-
Tectonic and Climatic Controls on Continental River Systems
… of the region. In the fourth chapter, I use remote-sensing imagery and machine-learning classification to identify spatial patterns and distributions of ancient settlements, and find that they are almost universally located at the bluff edge at the interface between uplands and floodplains; …
-
Operational Water Prediction in Highly Regulated, Transboundary Watersheds using Multi-Basin Modelling, Earth Observations and Co-production
… Reservoir Operation Scheme with support of remote sensing imagery. Quality of hydrological forecasts is found to vary geographically and deteriorate with increasing lead time. Inclusion of reservoir operation, nevertheless, can improve the quality and usefulness of forecast information at …
-
Bias Reduction in Machine Learning Classifiers for Spatiotemporal Analysis of Coral Reefs using Remote Sensing Images
… as applied to the detection of coral reefs using remote sensing images. Three scientific studies have been conducted as part of this research: 1) Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean 2) …
-
Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models
… reconstruction framework based on Compressive Sensing (CS) techniques and a new, Spectral Statistical approach based on the use of isotropic models over a dyadic partitioning of the spectrum. The proposed methods are demonstrated in applications in reconstructing fMRI and remote sensing …
-
Spatiotemporal Big Data Analytics for Future Mobility
… GPS trajectories, vehicle engine measurements, remote sensing imagery, and geotagged tweets) which has a potential to transform our societies. Terabytes of earth observation data are collected every day from thousands of places across the world. Modern vehicles are increasingly equipped with …
Page 1 of 2