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Rozprawy doktorskie na temat „Hyperspectral data analysis”

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Data publikacji: 3 czerwca 2025

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1

Petri, David Scott. "Analysis of hyperspectral data using polarimetric characteristics." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA327923.

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Thesis (M.S. in System Technology (Space Systems Operations)) Naval Postgraduate School, December 1996.<br>Thesis advisor(s): David D. Cleary, Richard Christopher Olsen. "December 1996." Includes bibliographical references (p. 77-78). Also Available online.

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Kelman, Timothy George Harold. "Techniques for capture and analysis of hyperspectral data." Thesis, University of Strathclyde, 2016. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26434.

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The work presented in this thesis focusses on new techniques for capture and analysis of hyperspectral data. Due to the three-dimensional nature of hyperspectral data, image acquisition often requires some form of movement of either the object or the detector. This thesis presents a novel technique which utilises a rotational line-scan rather than a linear line-scan. Furthermore, a method for automatically calibrating this system using a calibration object is described. Compared with traditional linear scanning systems, the performance is shown to be high enough that a rotational scanning syst

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Fountanas, Leonidas. "Principal components based techniques for hyperspectral image data." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FFountanas.pdf.

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Burger, James. "Hyperspectral NIR image analysis : data exploration, correction, and regression /." Umeå : Unit of Biomass Technology and Chemistry, Swedish University of Agricultural Sciences, 2006. http://epsilon.slu.se/200660.pdf.

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Fay, Matthew Edward. "An analysis of hyperspectral imagery data collected during Operation Desert Radiance." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA302643.

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Thesis (M.S. in Systems Technology (Space Systems Operations)) Naval Postgraduate School, June 1995.<br>"June 1995." Thesis advisor(s): Richard Christopher Olsen. Bibliography: p. 99-101. Also available online.

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Wahrman, Spencer A. "Time Series Analysis of Vegetation Change using Hyperspectral and Multispectral Data." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17473.

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Approved for public release; distribution is unlimited<br>Grand Lake, Colorado has experienced a severe mountain pine beetle outbreak over the past twenty years. The aim of this study was to map lodgepole pine mortality and health decline due to mountain pine beetle. Multispectral data spanning a five-year period from 2006 to 2011 were used to assess the progression from live, green trees to dead, gray-brown trees. IKONOS data from 2011 were corrected to reflectance and validated against an Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) hyperspectral dataset, also collected during 201

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Vikström, Axel. "A comparison of different machine learning algorithms applied to hyperspectral data analysis." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184538.

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Hyperspectral image analysis works with image data where each pixel contains hundreds of wavelengths acquired from spectral measurements. It is a growing field of research in the sciences and industries because it can distinguish visually similar objects. While many machine-learning methods work well for analysing regular images, little is known about how they perform on hyperspectral data. Standard methods for quantifying and classifying hyperspectral data include the chemometric methods PLS, PLS-DA and SIMCA. They provide rapid computations along with intuitive modelling and diagnostic tools

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Cheriyadat, Anil Meerasa. "Limitations of principal component analysis for dimensionality-reduction for classification of hyperspectral data." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-11072003-133109.

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PISCINI, ALESSANDRO. "Neural-Network approach to multispectral and hyperspectral data analysis for volcanic monitoring." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2015. http://hdl.handle.net/2108/214160.

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Dastile, Xolani Collen. "Improved tree species discrimination at leaf level with hyperspectral data combining binary classifiers." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1002807.

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The purpose of the present thesis is to show that hyperspectral data can be used for discrimination between different tree species. The data set used in this study contains the hyperspectral measurements of leaves of seven savannah tree species. The data is high-dimensional and shows large within-class variability combined with small between-class variability which makes discrimination between the classes challenging. We employ two classification methods: G-nearest neighbour and feed-forward neural networks. For both methods, direct 7-class prediction results in high misclassification rates. H

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Parshakov, Ilia. "Automatic class labeling of classified imagery using a hyperspectral library." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2012, 2012. http://hdl.handle.net/10133/3372.

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Image classification is a fundamental information extraction procedure in remote sensing that is used in land-cover and land-use mapping. Despite being considered as a replacement for manual mapping, it still requires some degree of analyst intervention. This makes the process of image classification time consuming, subjective, and error prone. For example, in unsupervised classification, pixels are automatically grouped into classes, but the user has to manually label the classes as one land-cover type or another. As a general rule, the larger the number of classes, the more difficult it is t

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Kalkan, Habil. "Feature Extraction From Acoustic And Hyperspectral Data By 2d Local Discriminant Bases Search." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610192/index.pdf.

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In this thesis, a feature extraction algorithm based on 2D Local Discriminant Bases (LDB) search is developed for acoustic and hyperspectral data. The developed algorithm extracts the relevant features by both eliminating the irrelevant ones and/or by merging the ones that do not provide extra information on their own. It is implemented on real world data to separate aflatoxin contaminated or high risk hazelnuts from the sound ones by using impact acoustic and hyperspectral data. Impact acoustics data is used to sort cracked and intact shell hazelnuts with high classification accuracy. Hypespe

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Polat, Songül. "Combined use of 3D and hyperspectral data for environmental applications." Thesis, Lyon, 2021. http://www.theses.fr/2021LYSES049.

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La demande sans cesse croissante de solutions permettant de décrire notre environnement et les ressources qu'il contient nécessite des technologies qui permettent une description efficace et complète, conduisant à une meilleure compréhension du contenu. Les technologies optiques, la combinaison de ces technologies et un traitement efficace sont cruciaux dans ce contexte. Cette thèse se concentre sur les technologies 3D et les technologies hyper-spectrales (HSI). Tandis que les technologies 3D aident à comprendre les scènes de manière plus détaillée en utilisant des informations géométriques, t

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Linden, Sebastian van der. "Investigating the potential of hyperspectral remote sensing data for the analysis of urban imperviousness." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2008. http://dx.doi.org/10.18452/15757.

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Durch den Prozess der Urbanisierung verändert die Menschheit die Erdoberfläche in großem Ausmaß und auf unwiederbringliche Weise. Die optische Fernerkundung ist eine Art der Erdbeobachtung, die das Verständnis dieses dynamischen Prozesses und seiner Auswirkungen erweitern kann. Die vorliegende Arbeit untersucht, inwiefern hyperspektrale Daten Informationen über Versiegelung liefern können, die der integrierten Analyse urbaner Mensch-Umwelt-Beziehungen dienen. Hierzu wird die Verarbeitungskette von Vorverarbeitung der Rohdaten bis zur Erstellung referenzierter Karten zu Landbedeckung und Versie

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Sugianto, Biological Earth &amp Environmental Science UNSW. "Multi-angular hyperspectral data and its influences on soil and plant property measurements: spectral mapping and functional data analysis approach." Awarded by:University of New South Wales. Biological, Earth and Environmental Science, 2006. http://handle.unsw.edu.au/1959.4/25531.

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This research investigates the spectral reflectance characteristics of soil and vegetation using multi-angular and single view hyperspectral data. The question of the thesis is ???How much information can be obtained from multi-angular hyperspectral remote sensing in comparison with single view angle hyperspectral remote sensing of soil and vegetation???? This question is addressed by analysing multi-angular and single view angle hyperspectral remote sensing using data from the field, airborne and space borne hyperspectral sensors. Spectral mapping, spectral indices and Functional Data Analysi

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16

Ergin, Leanna N. "ENHANCED DATA REDUCTION, SEGMENTATION, AND SPATIAL MULTIPLEXING METHODS FOR HYPERSPECTRAL IMAGING." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1501871494997272.

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Sturgeon, Melissa A. "Spectral and polarimetric analysis of hyperspectral data collected by an acousto-optic tunable filter system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA275076.

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Thesis (M.S. in Systems Technology (Space Operations) Naval Postgraduate School, September 1993.<br>Thesis advisor(s): Philip A. Durkee. "September 1993." Includes bibliographical references. Also available online.

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Bangs, Corey F. "Improving Identification of Area Targets by Integrated Analysis of Hyperspectral Data and Extracted Texture Features." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17317.

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Approved for public release; distribution is unlimited<br>Hyperspectral data were assessed to determine the effect of integrating spectral data and extracted texture features on classification accuracy. Four separate spectral ranges (hundreds of spectral bands total) were used from the VNIR-SWIR portion of the electromagnetic spectrum. Haralick texture features (contrast, entropy, and correlation) were extracted from the average grey level image for each range. A maximum likelihood classifier was trained using a set of ground truth ROIs and applied separately to the spectral data, texture data

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Dalponte, Michele. "Analysis of forest areas by advanced remote sensing systems based on hyperspectral and LIDAR data." Doctoral thesis, Università degli studi di Trento, 2010. https://hdl.handle.net/11572/368269.

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Forest management is an important and complex process, which has significant implications on the envi-ronment (e.g. protection of biological diversity, climate mitigation) and the economy (e.g. estimation of timber volume for commercial usage). An efficient management requires a very detailed knowledge of forest attributes such as species composition, trees stem volume, height, etc. Hyperspectral and LIDAR remote sensing data can provide useful information to the identification of these attributes: hyperspectral data with their dense sampling of the spectral signatures are important for the cl

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Dalponte, Michele. "Analysis of forest areas by advanced remote sensing systems based on hyperspectral and LIDAR data." Doctoral thesis, University of Trento, 2010. http://eprints-phd.biblio.unitn.it/235/1/Dalponte_Michele_PhD-Thesis.pdf.

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Forest management is an important and complex process, which has significant implications on the envi-ronment (e.g. protection of biological diversity, climate mitigation) and the economy (e.g. estimation of timber volume for commercial usage). An efficient management requires a very detailed knowledge of forest attributes such as species composition, trees stem volume, height, etc. Hyperspectral and LIDAR remote sensing data can provide useful information to the identification of these attributes: hyperspectral data with their dense sampling of the spectral signatures are important for the cl

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Stenlund, Hans. "Improving interpretation by orthogonal variation : Multivariate analysis of spectroscopic data." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-43476.

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The desire to use the tools and concepts of chemometrics when studying problems in the life sciences, especially biology and medicine, has prompted chemometricians to shift their focus away from their field‘s traditional emphasis on model predictivity and towards the more contemporary objective of optimizing information exchange via model interpretation. The complex data structures that are captured by modern advanced analytical instruments open up new possibilities for extracting information from complex data sets. This in turn imposes higher demands on the quality of data and the modeling te

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Torrecilla, Ribalta Elena. "Novel approach to improve the assessment of biodiversity of phytoplankton communities based on hyperspectral data analysis." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/96758.

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La gestió sostenible dels ecosistemes marins requereix d'un millor coneixement de la distribució de certs paràmetres ecològics com les comunitats de fitoplàncton, inclosos aquells grups algals causants d'afloraments. La caracterització acurada dels patrons espacio-temporals de la biodiversitat del fitoplàncton és essencial per tal d'avaluar el paper de cada grup algal en l'ecosistema global marí i els cicles biogeoquímics. En l'intent d'abordar aquesta qüestió, observacions espectromètriques adquirides in situ i per teledetecció han demostrat proporcionar informació valuosa sobre la distri

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Jordan, Johannes [Verfasser], Joachim [Akademischer Betreuer] Hornegger, and Joachim [Gutachter] Hornegger. "Interactive Analysis of Multispectral and Hyperspectral Image Data / Johannes Jordan ; Gutachter: Joachim Hornegger ; Betreuer: Joachim Hornegger." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2017. http://d-nb.info/1156780985/34.

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Marcellin, Michael W., Naoufal Amrani, Serra-Sagristà Joan, Valero Laparra, and Jesus Malo. "Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data." IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016. http://hdl.handle.net/10150/621311.

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A novel wavelet-based scheme to increase coefficient independence in hyperspectral images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) uses multivariate regression to exploit the relationships among wavelettransformed components. It builds on our previous nonlinear schemes that estimate each coefficient from neighbor coefficients. Specifically, RWA performs a pyramidal estimation in the wavelet domain, thus reducing the statistical relations in the residuals and the energy of the representation compared to existing wavelet-based schemes. We propose

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Montag, Martin J. [Verfasser], and Gabriele [Akademischer Betreuer] Steidl. "Convex Analysis for Processing Hyperspectral Images and Data from Hadamard Spaces / Martin J. Montag ; Betreuer: Gabriele Steidl." Kaiserslautern : Technische Universität Kaiserslautern, 2017. http://d-nb.info/1132582199/34.

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Waheed, Tahir. "Artificial intelligence analysis of hyperspectral remote sensing data for management of water, weed, and nitrogen stresses in corn fields." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86060.

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This study investigated the possibility of using ground-based remotely sensed hyperspectral observations with a special emphasis on detection of water, weed and nitrogen stresses contributing towards in-season decision support for precision crop management (PCM).<br>A three factor split-split-plot experiment, with four randomized blocks as replicates, was established during the growing seasons of 2003 and 2004. Corn (Zea mays L.) hybrid DKC42-22 was grown because this hybrid is a good performer on light soils in Quebec. There were twelve 12 x 12m plots in a block (one replication per tr

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Blankenship, James R. "Assessing the ability of hyperspectral data to detect Lyngbya SPP a potential biological indicator for presence of metal objects in the littoral environment." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FBlankenship.pdf.

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Thesis (M.S. in Space Systems Operations)--Naval Postgraduate School, December 2006.<br>Thesis Advisor(s): Daria Siciliano, R. C. Olsen. "December 2006." Includes bibliographical references (p. 233-239). Also available in print.

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Tekinay, Cagri. "Classification Of Remotely Sensed Data By Using 2d Local Discriminant Bases." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610782/index.pdf.

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In this thesis, 2D Local Discriminant Bases (LDB) algorithm is used to 2D search structure to classify remotely sensed data. 2D Linear Discriminant Analysis (LDA) method is converted into an M-ary classifier by combining majority voting principle and linear distance parameters. The feature extraction algorithm extracts the relevant features by removing the irrelevant ones and/or combining the ones which do not represent supplemental information on their own. The algorithm is implemented on a remotely sensed airborne data set from Tippecanoe County, Indiana to evaluate its performance. The spec

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Boiret, Mathieu. "Towards chemometric methodologies on hyperspectral imaging for low dose compound detection : application on Raman microscopy." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS291.

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L’imagerie hyperspectrale est désormais considérée comme un outil analytique à part entière dans l’industrie pharmaceutique, aussi bien au cours du développement pour assurer la qualité d’un produit que pour résoudre des problématiques de production après la mise sur le marché du médicament. Dans ces travaux, la microscopie Raman est utilisée pour étudier la distribution en principes actifs et excipients au sein d’une forme pharmaceutique solide, en se focalisant tout particulièrement sur l’identification d’un composé faiblement dosé. Ce dernier est défini comme étant un produit ayant de faibl

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Williams, Paul James. "Near infrared (NIR) hyperspectral imaging and X-ray computed tomography combined with statistical and multivariate data analysis to study Fusarium infection in maize." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/79904.

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Thesis (PhD)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: Maize (Zea mays L.) is used for human and animal consumption in diverse forms, from specialised foods in developed countries, to staple food in developing countries. Unfortunately, maize is prone to infection by different Fusarium species that can produce harmful mycotoxins. Fusarium verticillioides is capable of asymptomatic infection, where infected kernels show no sign of fungal growth, but are contaminated with mycotoxins. If fungal contamination is not detected early on, mycotoxins can enter the food chain. Rapid and a

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Rousseau, Batiste. "Étude de la composition et des propriétés physiques de surface de la comète 67P/Churyumov-Gerasimenko : interprétation des données VIRTIS/Rosetta etmesure en réflectance d’analogues cométaires." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEO018/document.

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Lors de leur formation il y a 4,6 milliards d’années, les comètes ont intégré des matériaux transformés selon les conditions physiques et dynamiques du disque d’accrétion mais aussi une part de composés issus du milieu interstellaire. Parce qu’elles ont préservé leurs propriétés, étudier les comètes permet de mieux comprendre les conditions régnant dans le disque proto-planétaire entourant le jeune Soleil à une époque qui nous est inaccessible. Cela permet également de comprendre les différentes populations de comètes, leur processus de formation, leurs évolutions dynamiques, leur activité lor

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Zoffoli, Maria Laura. "Analysis of the potential of in situ hyperspectral optical data and high spatial resolution satellite imagery to map bottom types in the Abrolhos Coral Reef Bank (Brazil)." Instituto Nacional de Pesquisas Espaciais (INPE), 2014. http://urlib.net/sid.inpe.br/mtc-m21b/2014/10.17.18.30.

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Human activity and natural climate trends constitute a major threat to coral reefs worldwide. Models predict a significant reduction in reef spatial extension together with a decline in biodiversity in the relatively near future. In this context, monitoring programs to detect changes in reef ecosystems are essential. In recent years, coral reef mapping using remote sensing data has benefited from instruments with better resolutions and computational advances in storage and processing capabilities. However, the water column represents an additional complexity when extracting information from su

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Richter, Nicole. "Pedogenic iron oxide determination of soil surfaces from laboratory spectroscopy and HyMap image data." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2010. http://dx.doi.org/10.18452/16119.

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Zusammenfassung Kenntnisse über den Zustand und die Entwicklung von Böden sind entscheidend für die Charakterisierung von Ökosystemen und deren Veränderungen. Die weltweite Verbreitung von Eisenoxiden und ihre von der Bodenentwicklung abhängige Konzentration und mineralogische Zusammensetzung machen sie zu geeigneten Indikatoren. Methoden der optische Fernerkundung wurden angewandt, um am Beispiel des Cabo de Gata- Níjar Naturparks, einem semi-ariden Ökosystem in Südostspanien, die Konzentrationen von Eisenoxiden im Boden zu bestimmen und zu kartieren. In der zuerst durchgeführten laborspek

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Benmoussat, Mohammed Seghir. "Hyperspectral imagery algorithms for the processing of multimodal data : application for metal surface inspection in an industrial context by means of multispectral imagery, infrared thermography and stripe projection techniques." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4347/document.

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Le travail présenté dans cette thèse porte sur l'inspection de surfaces métalliques industrielles. Nous proposons de généraliser des méthodes de l'imagerie hyperspectrale à des données multimodales comme des images optiques multi-canales, et des images thermographiques multi-temporelles. Dans la première application, les cubes de données sont construits à partir d'images multi-composantes pour détecter des défauts de surface. Les meilleures performances sont obtenues avec les éclairages multi-longueurs d'ondes dans le visible et le proche IR, et la détection du défaut en utilisant l'angle spec

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Du, Plooy Niell. "Analysing the influence of TNT on Southern African trees grass and shrubs using in-situ hyperspectral data." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/65887.

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Landmines pose a significant risk to the health and livelihood of millions of people in war-torn countries. From a humanitarian point of view, these hidden dangers must be detected and removed. Several detection methods exist, including ground-penetrating radar, sniffer dogs and rats. It is a tedious process and can take months to clear only a single minefield. This study investigates whether TNT from leaking landmines can be detected using hyperspectral remote sensing of plant foliage, with the aim of being an area reduction aid. Increasing concentrations of TNT was administered to a study sa

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Jacobsen, Anne. "Analysing airborne optical remote sensing data from a hyperspectral scanner and implications for environmental mapping and monitoring results from a study of casi data and Danish semi-natural dry grasslands /." Roskilde : Danmarks Miljøundersøgelser, 2001. http://www.dmu.dk/1_viden/2_Publikationer/3_Ovrige/default.asp.

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Sellami, Akrem. "Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0037/document.

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L'imagerie hyperspectrale permet d'acquérir des informations spectrales riches d'une scène dans plusieurs centaines, voire milliers de bandes spectrales étroites et contiguës. Cependant, avec le nombre élevé de bandes spectrales, la forte corrélation inter-bandes spectrales et la redondance de l'information spectro-spatiale, l'interprétation de ces données hyperspectrales massives est l'un des défis majeurs pour la communauté scientifique de la télédétection. Dans ce contexte, le grand défi posé est la réduction du nombre de bandes spectrales inutiles, c'est-à-dire de réduire la redondance et

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Hruška, Jonáš. "Hyperspectral data analysis for agriculture applications." Doctoral thesis, 2021. http://hdl.handle.net/10348/10940.

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PhD thesis in Informatics<br>Vine diseases are considered as major challenges in viticulture. Their management usually involves heavy spraying all over the plants. Farmers are forced to do so because they usually don´t have a proper monitoring technique to highlight more specific affected areas within a given crop parcel. Proper detection of negative factors could increase the efficiency and reduce negative environmental impacts. Traditional in-field visual observation and related laboratory tests are only suitable for small areas, as it is a very time consuming and demanding process. Moreover

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Wang, Yung-Ling, and 王詠令. "Empirical Mode Decomposition for Hyperspectral Data Analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/69519747245803435720.

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博士<br>國立中央大學<br>資訊工程學系<br>102<br>Optical remote sensing can distinguish different materials because each material has its own unique absorption characteristics to form a unique spectrum. This information can be adopted to discriminate different materials in optical remote sensing images. Traditional approach for spectra similarity measurement is calculating the Euclidean distance or spectral angle between two spectra directly. However, in reality the spectra usually contain noise or interference which cannot be tolerated by traditional measurements. In this study, we propose a new approach to

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"Hyperspectral data analysis of typical surface covers in Hong Kong." 1999. http://library.cuhk.edu.hk/record=b5890094.

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Ma Fung-yan.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.<br>Includes bibliographical references (leaves 137-141).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgements --- p.iv<br>Table of Contents --- p.v<br>List of Tables --- p.ix<br>List of Figures --- p.x<br>Chapter CHAPTER 1 --- INTRODUCTION<br>Chapter 1.1 --- Introduction and background --- p.1<br>Chapter 1.2 --- Objectives --- p.4<br>Chapter 1.3 --- Significance --- p.5<br>Chapter 1.4 --- Organization of the thesis --- p.5<br>Chapter CHAPTER 2 --- LITERATURE REVIEW<br>Chapter 2.1 --- Intro

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Antonelli, Paolo. "Principal component analysis : a tool for processing hyperspectral infrared data /." 2001. http://www.library.wisc.edu/databases/connect/dissertations.html.

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Wang, Li-Jung, and 王儷蓉. "The Analysis of Spectral Difference and Class Separability Derived from Hyperspectral Data." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/31395818491454350497.

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碩士<br>國立成功大學<br>測量工程學系<br>86<br>Recently, due to the advance of image scanning technology, imaging spectrometry scanners which have tens or even hundreds spectral bands have been invented. Images have such a large number of bands are usually called "hyperspectral images". Comparing to the traditional multispectral images, hyperspectral images include richer and finer spectral information than the images we can obtain before. Theoretically, using hyperspectral images should i

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Lai, Chih-Hung, and 賴致宏. "The unsupervised band selection methods for progressive data analysis of hyperspectral imagery." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/78332053556447541656.

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碩士<br>國立中山大學<br>機械與機電工程學系研究所<br>104<br>Band selection (BS) is an important topic that has received wide attention for hyperspectral imaging (HSI) in remote sensing community for many years. In this thesis, two types of unsupervised sequential band selection (SQBS) methods for progressive data analysis of hyperspectral imagery are presented. In the first method, we propose two kinds of algorithms based on two individual perspectives: minimum band similarity and maximum band information. In the other method, we adopt sparse self-representation (SSR) model to assume that all the bands can be repr

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Ahlinder, Linnea. "Raman Spectroscopy and Hyperspectral Analysis of Living Cells Exposed to Nanoparticles." Doctoral thesis, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-251339.

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Nanoparticles, i.e. particles with at least one dimension smaller than 100 nm, are present in large quantities in ambient air and can also be found in an increasing amount of consumer products. It is known that many nanomaterials have physicochemical properties that differ from physicochemical properties of the same material in bulk size. It is therefore important to characterize nanoparticles and to evaluate their toxicity. To understand mechanisms behind nanotoxicity, it is important to study the uptake of nanoparticles, and how they are accumulated. For these purposes model studies of cellu

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Shen, Yu-Shiuan, and 沈郁瑄. "Detection and Analysis of Astrophysical Sources via Spatial-spectral Unmixing of MUSE Hyperspectral Data." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/16912914962294854389.

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碩士<br>國立清華大學<br>通訊工程研究所<br>100<br>MUSE (Multi-Unit Spectroscopic Explorer) is a wide-field integral field spectrograph at the Very Large Telescope (VLT) for the European Southern Observatory (ESO) under construction and it is an optical instrument to be used to obtain spectra of astronomical objects over a two-dimensional field of view. Hence, MUSE will provide three-dimensional hyperspectral data cube with two spatial axes and a wavelength axis. However, due to the high noise level and the three-dimensional translation variant blur function, detection and analysis of astrophysical sources fro

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Ahmad, Touseef. "Augmenting Hyperspectral Image Unmixing Models Using Spatial Correlation, Spectral Variability, And Sparsity." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/6081.

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Hyperspectral imaging sensors sample sunlight reflected from different targets on Earth's surface by utilising a series of contiguous narrow spectral channels. The higher spectral resolution of hyperspectral images (HSIs) comes at the cost of low spatial resolution; therefore, most pixels may consist of multiple targets. Spectral unmixing algorithms are essential in addressing the issue of low spatial resolution of HSIs by incorporating spatial correlation, spectral variability, and sparsity constraints. Moreover, unmixing methods can be used to measure the fractional abundance of pure materia

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Nicolae, Aurel. "A comparative analysis of classic Geometrical methods and sparse regression methods for linearly unmixing hyperspectral image data." Thesis, 2019. https://hdl.handle.net/10539/29542.

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A research report submitted to the Faculty of Science, University of Witwatersrand, Johannesburg, in the ful lment of the requirements for the degree of Masters of Science by Coursework and Research Report, 2019<br>This research report presents an across-the-board comparative analysis on algorithms for linearly unmixing hyperspectral image data cubes. Convex geometry based endmember extraction algorithms (EEAs) such as the pixel purity index (PPI) algorithm and N-FINDR have been commonly used to derive the material spectral signatures called endmembers from the hyperspectral images. The

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Van, der Linden Sebastian [Verfasser]. "Investigating the potential of hyperspectral remote sensing data for the analysis of urban imperviousness : a Berlin case study / eingereicht von Sebastian van der Linden." 2008. http://d-nb.info/989811190/34.

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(8791535), Jieqiong Zhao. "Visual Analytics for Decision Making in Performance Evaluation." Thesis, 2020.

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Performance analysis often considers numerous factors contributing to performance, and the relative importance of these factors is evolving based on dynamic conditions and requirements. Investigating large numbers of factors and understanding individual factors' predictability within the ultimate performance are challenging tasks. A visual analytics approach that integrates interactive analysis, novel visual representations, and predictive machine learning models can provide new capabilities to examine performance effectively and thoroughly. Currently, only limited research has been done on th

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Palúchová, Miroslava. "Vliv spektrálního rozlišení na klasifikaci krajinného pokryvu v krkonošské tundře." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-379417.

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The influence of spectral resolution on land cover classification in Krkonoše Mts. tundra Abstract The aim of this diploma thesis was to specify the spectral resolution requirements for classification and to identify the most important spectral bands to discriminate classes of the predefined legend. Aerial hyperspectral data acquired by AisaDUAL sensor were used. The method applied for the selection of the important bands was discriminant analysis performed in IBM SPSS Statistics. The most discriminative bands were found in intervals 1500-1750 nm (beginning of SWIR), 1100- 1300 nm (longer wave

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