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 267 for “"hyperspectral"”.
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Superpixels for Hyperspectral Image Analysis
… and robustly exploits superpixels for hyperspectral data. We study and quantify the efficacy of state-of-the-art superpixel generation algorithms for a variety of hyperspectral images. In this work, superpixel level analysis is proposed for two different hyperspectral image analysis …
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Hyperspectral Imagery for Precision Agriculture
The main contribution of this dissertation to hyperspectral image processing is that a hybrid feature selection and feature extraction approach was proposed and implemented for image feature reduction. The general procedure was to select a subset of the original image bands and transform the image …
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Deep Learning on Hyperspectral Image Classification
Classification of Hyperspectral images is one of the main problems in the research field of Remote Sensing and other applications developed through computer vision. With the advantage of spectral and spatial information, it is possible to distinguish effectively different materials on the surface. …
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Hyperspectral image compression using implicit neural representations
Hyperspectral images (HSI) capture the full electromagnetic spectrum for each pixel in a scene. They often hold hundreds of channels per pixel, providing significantly more information compared to a comparably sized RGB color image. As the cost of obtaining these images decreases, there is a need …
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Deriving bathymetry from multispectral and hyperspectral imagery
… from remote sensing with multispectral or hyperspectral imagery provides an opportunity to acquire water depth data faster than traditional hydrographic survey methods without the need to deploy a hydrographic survey vessel. It also provides a means of collecting bathymetric data covertly. …
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Mobile hyperspectral imaging for structural damage detection
… coexist with other complex scenes. A mobile hyperspectral imaging system is developed in this work, which captures hundreds of spectral reflectance values at a pixel in the visible and near-infrared (VNIR) portion of the electromagnetic spectrum bands. To prove its potential in discriminating …
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Application of hyperspectral imaging in pharmaceutical analysis
This thesis describes the application of hyperspectral imaging (HSI) as a novel technique for the analysis of spectral data derived from image analysis of tablet breakdown during dissolution. Whilst defining the rate of release is the common output from traditional dissolution experiments, the …
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Hyperspectral image analysis for questioned historical documents.
… describes the application of spectroscopy and hyperspectral image processing to examine historical manuscripts and text. Major activities in palaeographic and manuscript studies include the recovery of illegible or deleted text, the minute analyses of scribal hands, the identification of inks …
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Anomaly detection and compensation for hyperspectral imagery
Hyperspectral sensors observe hundreds or thousands of narrow contiguous spectral bands. The use of hyperspectral imagery for remote sensing applications is new and promising, yet the characterization and analysis of such data by exploiting both spectral and spatial information have not been …
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Active hyperspectral imaging of chemicals on surfaces
Active hyperspectral imaging (HSI) is a promising technique for the detection of chemicals at standoff distances. In active HSI, a target is illuminated by a laser source at many different wavelengths and a camera obtains an image of the illuminated scene at each wavelength. In this research, the …
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RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING
Hyperspectral imaging provides researchers with abundant information with which to study the characteristics of objects in a scene. Processing the massive hyperspectral imagery datasets in a way that efficiently provides useful information becomes an important issue. In this thesis, we consider …
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NIR hyperspectral imaging for animal feed ingredient applications
… application in the food industry, near-infrared hyperspectral imaging (NIR HSI) was explored for animal feed applications. Its ability to provide chemical composition of the sample at the pixel level provides an advantage over the typical NIR spectroscopy. In this dissertation, a literature …
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Deep Learning-Based Synthesis of Surgical Hyperspectral Images
… from underlying physiological tissue properties, hyperspectral imaging (HSI) together with machine learning-based analyses has been proposed as a solution in recent literature. However, HSI data in the clinical setting is sparse, as its acquisition is crucially limited by a small number of …
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