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 57 for “"Satellite Image"”.
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Satellite Image Processing for Remote Sensing Applications
This thesis investigates areas of 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, …
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Estimating surface current from a satellite image
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology and Physical Oceanography, 1981.
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Graph-based quantum neural networks for satellite image classification
… utilise des QNN pour la classification binaire d’images satellites multispec trales. Ces images capturent la réflectance sur plusieurs bandes spectrales, telles que le rouge, le vert, le bleu, l’infrarouge proche et l’infrarouge à ondes courtes, perme ttant d’identifier des types de couvertures …
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Assessing Satellite Image Data Fusion with Information Theory Metrics
… problem in remote sensing is estimating an image with high spatial and high spectral resolution given separate sources of measurements from satellite instruments, one having each of these desirable properties. This thesis presents a survey of seven families of algorithms which have been …
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Satellite Image Analysis and Sidewalk Classification using Deep Learning Models
… accuracy.</p> <p>The dataset comprises 4,731 images of sidewalk based on occlusion levels, including images where the sidewalk is visible from overhead and instances where sidewalk is occluded by tree canopies, buildings, or vehicles etc. These images were collected manually using ArcGIS Pro …
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Satellite image cloud removal : learning within and beyond the sample
… on Earth. The technology largely focuses on satellite imaging, which relies on observation from remote positions, away from the planet’s surface. As a consequence, a large portion of the satellite imagery in the optical spectrum is hindered by the presence of clouds in the atmosphere, which …
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A Knowledge-based approach of satellite image classification for urban wetland detection
… remotely sensed data by means of pixel-based image classification. This is mainly caused by inadequate spatial resolutions of satellite imagery, spectral similarities between urban wetlands and adjacent land covers, and the spatial complexity of wetlands in human-transformed, heterogeneous …
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Evaluating Satellite Image Classification For Bottomland Surveys in Ozark National Scenic Riverways
… This thesis evaluated the feasibility of using satellite images in further surveys of the park. Aerial photographs were digitized to allow computerized comparison with satellite images. Landcover regions were drawn using the aerial photographs, topographic maps and on-site experience. The …
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Towards Improving Accuracy and Interpretability of Deep Learning based on Satellite Image Classification
<p>ABSTRACT</p> <p>The study of satellite images provides a way to monitor changes in the surface of the Earth and the atmosphere. Convolutional Neural Networks (CNN) have shown accurate results in solving practical problems in multiple fields. Some of the more recognized fields using CNNs are …
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Increasing the Precision of Forest Area Estimates through Improved Sampling for Nearest Neighbor Satellite Image Classification
… classifications of three mosaicked Landsat ETM+ images with the nearest neighbor decision rule were explored. Large training data pools of single pixels were used in simulations to create samples with three sampling methods (random, stratified random, and systematic) and eight sample sizes (25, …
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Satellite image classification and spatial analysis of agricultural areas for land cover mapping of grizzly bear habitat
… in late July, 2007, from Landsat Thematic Mapper satellite imagery and field data collection in two study areas in Alberta. Three different classification methods were analyzed, the best method being the Supervised Sequential Masking (SSM) technique, which gave an overall accuracy of 88% and a …
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Augmenting data for Urban Metabolism of cities Tool using Machine learning and Satellite Image Analysis of city
We use image analysis to augment data about a city’s material flow or material stock.We take existing data about cities such as energy consumption,biomass,water consumption,energy production and construction material either at the city level or national level and add data from satellite based …
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Automatic land-cover-classification derived from high-resolution Ikonos satellite image in the urban atlantic forest in Rio de Janeiro, Brasil by means of an objects-oriented approach
… order to solve this problem high resolution satellite data and automatic classification of Land-cover classes are needed. Consequently, images as IKONOS need to be used to produce a classification, with a scale corresponding to the GIS of the city. <br>Pixel based classification with high …
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Detection and prediction of biodiversity patterns as a rapid assessment tool in the tropical forest of East Usambara, Eastern Arc Mountains, Tanzania
… the model based on geo-referenced field data and satellite image-based variables from the Amani Nature Reserve, the largest forest sector in the East Usambara. I then verified the model by applying it to the Nilo Forest Reserve. The field data, part of the Tanzanian National Biodiversity Database, …
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City-scale Cross-view Geolocalization with Generalization to Unseen Environments
… global position by matching a local ground image to an overhead satellite image. It is challenging to reliably match these two sets of images in part because they have significantly different viewpoints. Existing works have demonstrated geolocalization in constrained scenarios over small …
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Image fusion for a nighttime driving display
An investigation into image fusion for a nighttime driving display application was performed. Most of the image fusion techniques being investigated in this application were developed for other purposes. When comparing the images of a typical night driving scene to the images used in medical or …
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Análise espacial das perdas de solo no Estado da Paraíba
… rainfall, soil map, digital elevation model and satellite image classification for the use and occupation, obtained in a GIS environment. The estimated loss of soil through USLE presented spatially as a result large loss of soil in the western portion of the state where the erosivity of the …
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Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study
… profile is associated in time and space with satellite remotely-sensed wind, sea surface temperature and surface chlorophyll a data. The bottom depth, season and location of each profile are also recorded. The archive of depth profiles is simplified by mapping each profile onto one of twelve …
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Pose estimation using overhead imagery and semantics
… with the advent of commercial civilian satellites and initiatives like the Google Maps project, most of the earth's outdoor urban environments have been captured through satellite imagery. These overhead images contain useful information that can aid with outdoor robot navigation and …
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Visible communities : designing a socio-spatial map
… of communities. Our implemented system combines satellite image analytics, a mobile mapping app, and social survey data. The system is designed to provide an end user experience that aligns institutional interests with grassroots interests, resulting in a self-sustaining system. In collaboration …
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