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 38 for “"Remote-sensing images"”.
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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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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, …
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Novel Methods for Change Detection in Multitemporal Remote Sensing Images
… of information from long time series of remotely sensed images. Many images are acquired everyday at high spatial and temporal resolution. The unprecedented availability of images is increasing due to the number of acquiring sensors. Nowadays, many satellites have been launched in orbit …
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A Constrained Box Algorithm for Imbalanced Data in Remote Sensing Images
… <p>Imbalanced data is a prominent issue also in remote sensing images (RSI) which are used to obtain information of earth resources and the surrounding environment. RSI are collected by special cameras that capture information from a specific wavelength range in the electromagnetic spectrum. …
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Advanced methods for the analysis of multispectral and multitemporal remote sensing images
The increasing availability of new generation remote sensing satellite multispectral images provides an unprecedented source of information for Earth observation and monitoring. Multispectral images can be now collected at high resolution covering (almost) all land surfaces with extremely short …
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Innovative methods for the reconstruction of new generation satellite remote sensing images
Remote sensing satellites have demonstrated to be a helpful instrument. Indeed, satellite images have been successfully exploited to deal with several applications including environmental monitoring and prevention of natural disasters. In the last years, the increasing of the availability of very …
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Weak-Supervised Deep Learning Methods for the Analysis of Multi-Source Satellite Remote Sensing Images
Satellite remote sensing has revolutionized the acquisition of large amounts of data, employing both active and passive sensors to capture critical information about our planet. These data can be analysed by using deep learning methodologies that demonstrate excellent capabilities in extracting the …
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Advanced Pre-Processing and Change-Detection Techniques for the Analysis of Multitemporal VHR Remote Sensing Images
Remote sensing images regularly acquired by satellite over the same geographical areas (multitemporal images) provide very important information on the land cover dynamic. In the last years the ever increasing availability of multitemporal very high geometrical resolution (VHR) remote sensing …
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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) …
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Analysis of Precision Agriculture Datasets for on -Farm Research
… using site attributes and hyperspectral remote sensing images. This study showed techniques to overcome issues of multicollinearity of the independent variables and the autocorrelation in the error term. Areas of greater SOM electrical conductivity, lower elevation, lower slope, and lower …
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Superpixels for Hyperspectral Image Analysis
… algorithms for a variety of hyperspectral images. In this work, superpixel level analysis is proposed for two different hyperspectral image analysis problems — remote sensing image classification and person re-identification via forward looking hyperspectral imagery. Specifically, for …
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Analisis orientado a objetos de imágenes de teledetección para cartografia forestal : bases conceptuales y un metodo de segmentacion para obtener una particion inicial para la clasificacion = Object-oriented analysis of remote sensing images for land cover mapping : Conceptual foundations and a segmentation method to derive a baseline partition for classification
El enfoque comúnmente usado para analizar las imágenes de satélite con fines cartográficos da lugar a resultados insatisfactorios debido principalmente a que únicamente utiliza los patrones espectrales de los píxeles, ignorando casi por completo la estructura espacial de la imagen. Además, la …
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Advanced Methods for Remote Sensing Image Captioning
… for decades, initially focusing on categorizing images or detecting specific objects, resulting in semantic representations tied to fixed concepts. Image captioning (IC) involves generating natural language descriptions for images, enabling machines to communicate their perception through …
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Potential of remote sensing and GIS as landscape structure and biodiversity indicators
… of the research was to evaluate the potential of remote sensing to (1) describe landscape structure regarding land use intensity and (2) to monitor species diversity. In particular, the human vision system, object based assessment, and image grey values were investigated in order to extract …
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Precision autonomous underwater navigation
… algorithm. Responsible documentation, through remote sensing images, distinguishes archaeology from salvage, and fine-resolution imaging demands precision navigation. This thesis presents a design process for making component and algorithm level tradeoffs to achieve system-level performance …
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Assessing the spatiotemporal variation of phytoplankton biomass in Nandoni reservoir in the Vhembe District (South Africa) using LANDSAT satellite imagery
… expensive, and non–continuous, therefore, Remote Sensing technologies are qualitative for monitoring the status for water quality in large scale and low cost. The aim of this study was to assess the spatial and temporal variation of phytoplankton biomass in Nandoni reservoir, Limpopo to …
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The Detection of Vegetation Species in Remote Sensing Imaging
Remote sensing classification is a complicated process and requires the perception of many factors. The main image classification factors that can be taken into consideration to improve classification accuracy may include placement of a sufficient classification system, chosen of training samples, …
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Development of super resolution techniques for finer scale remote sensing image mapping
… can be measured for each of many low resolution images; therefore, a new and computationally efficient image registration is developed for this particular application. This improved elastic image registration method can deal with a global affine warping and local shift translations based on …
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Applied Machine Learning with Latent Space Representation and Manipulation
… a type of invasive grass based on the remote sensing images taken by unnamed aerial vehicles. By applying deep learning along with the discrete latent space-assisted data augmentation, the buffelgrass patterns are accurately located. Second, we solve a seismic inversion problem which is …
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