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 13 of 13 for “"Spectral classification"”.
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Automatic road network extraction from high resolution satellite imagery using spectral classification methods
Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road network extraction techniques have significantly increased the extraction rate of road networks. Automated …
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Spectral classification of aflatoxin and fumonisin contamination in corn at single kernel level
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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Data compressive paradigm for spectral sensing and classification using electrically tunable detectors
… spectrometry in the mid-IR sensing regime using spectrally tunable quantum dots-in-a-well (DWELL) IR detector without employing any spectral filters; (2) further demonstration of the spectral-classification capability of tunable DWELL IR focal-plane array (FPA), again without using any spectral …
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Development of super resolution techniques for finer scale remote sensing image mapping
… thesis, methods for achieving finer scale multi-spectral classification through the use of super resolution (SR) techniques are investigated. A new super resolution algorithm Maximum a Posteriori based on the universal hidden Markov tree model (MAP-uHMT) is developed which can be applied …
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Classification of Stars from Redshifted Stellar Spectra utilizing Machine Learning
The classification of stellar spectra is a fundamental task in stellar astrophysics. There have been many explorations into the automated classification of stellar spectra but few that involve the Sloan Digital Sky Survey (SDSS). Stellar spectra from the SDSS are applied to standard classification …
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Advances in Raman hyperspectral compressive detection instrumentation for fast label free classification, quantitation and imaging
<p>Multiple prototypes of hyperspectral compressive detection (CD) Raman spectrometers have previously been constructed in the Ben-Amotz lab and have proven to be useful for fast, label-free chemical identification, quantitation and imaging. The CD spectrometer consists of a volume holographic …
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Use of ancillary data in a Landsat classification of a forested wetland
Digital Landsat cover-type classifications have often proved less accurate than hoped for, or have been less detailed than needed. Recent research efforts have used additional data to supplement the four bands of Landsat MSS data in an attempt to increase the accuracies of computer classifications. …
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Bridging the Modeling-Sampling Gap for Mid-Infrared Reflectance Spectroscopy of Small Particles, Films, and Fibers
… sub-monolayer coverage spectra, is suitable for spectral classification analysis, but only semi-quantitatively determines absorption coefficients.</p> <p>An IR camera sensitized to spectral regions tuned for detection of crime-scene blood was developed. Adaption of an IR camera with a modulated …
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Application of Ancillary Data In Post-Classification to Improve Forest Area Estimates In A Landsat TM Scene
… introducing the use of ancillary data in post-classification. The US Forest Service has well-defined definitions of forest and nonforest land-use in its (FIA) program. Using these definitions as parameters, post-classification techniques were developed to improve forest area estimates from the …
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Liquid chromatography and mass spectrometry based characterization to understand the role of neuropeptides in various physiological conditions and disease states
… and machine learning based tools for peptide spectral classification. Next, the aforementioned tools and techniques were applied to elucidate the role of neuropeptides in chronic pain and chronic itch disorders. Findings from my works will lead to better characterization of neuropeptides and …
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Automation of the γ-ray spectrometry setup of the Environmental Radioactive Laboratory at NRF-iThemba LABS
… of γ-ray spectra. To achieve this, γ-ray spectral data were acquired from five selected radionuclides under controlled experimental conditions, including different counting geometries and known activity concentrations. The resulting dataset captured both the statistical and physical …
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Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging
… algorithm--specifically targeted for multispectral (MS) and hyperspectral (HS) imagery--which performs l edge detection based solely on spectral (color) information. More precisely, this algorithm fuses the process of detecting edges through ratios of pixels with critical information …