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Relevant bibliographies by topics / Remote sensing Image processing Remote sensing Remote sensing Computer algorithms / Dissertations / Theses

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Dissertations / Theses on the topic 'Remote sensing Image processing Remote sensing Remote sensing Computer algorithms'

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Published: 4 June 2021

Last updated: 10 February 2022

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1

Cisz, Adam. "Performance comparison of hyperspectral target detection algorithms /." Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/3020.

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2

Wang, Zhen. "Modeling wildland fire radiance in synthetic remote sensing scenes /." Online version of thesis, 2007. http://hdl.handle.net/1850/5787.

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3

Ientilucci, Emmett J. "Hyperspectral sub-pixel target detection using hybrid algorithms and physics based modeling /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1185.

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4

Doster, Timothy J. "Mathematical methods for anomaly grouping in hyperspectral images /." Online version of thesis, 2009. http://hdl.handle.net/1850/11575.

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Schuetter, Jared Michael. "Cairn Detection in Southern Arabia Using a Supervised Automatic Detection Algorithm and Multiple Sample Data Spectroscopic Clustering." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269567071.

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6

Shah, Vijay Pravin. "A wavelet-based approach to primitive feature extraction, region-based segmentation, and identification for image information mining." Diss., Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-07062007-134150.

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7

Story, Michael Haun. "Comparison of accuracy and efficiency of five digital image classification algorithms." Thesis, This resource online, 1987. http://scholar.lib.vt.edu/theses/available/etd-04122010-083611/.

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8

Li, Feng Engineering &amp Information Technology Australian Defence Force Academy UNSW. "Development of super resolution techniques for finer scale remote sensing image mapping." Awarded by:University of New South Wales - Australian Defence Force Academy. Engineering & Information Technology, 2009. http://handle.unsw.edu.au/1959.4/44098.

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In this 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 successfully to super-resolve each multi-spectral channel before classification by standard methods. It is believed that this is the first time that a true super resolution algorithm has been applied to multi-spectral classification, and results are shown to be excellent. Image registration is

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Van, der Westhuizen Lynette. "Concise analysis and testing of a software model of a satellite remote sensing system used for image generation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96029.

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Thesis (MEng) -- Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: The capability of simulating the output image of earth observation satellite sensors is of great value, as it reduces the dependency on extensive field tests when developing, testing and calibrating satellite sensors. The aim of this study was to develop a software model to simulate the data acquisition process used by passive remote sensing satellites for the purpose of image generation. To design the software model, a comprehensive study was done of a physical real world satellite remote sensing system in order to ide

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10

Lavalle, Marco. "Full and Compact Polarimetric Radar Interferometry for Vegetation Remote Sensing." Phd thesis, Université Rennes 1, 2009. http://tel.archives-ouvertes.fr/tel-00480972.

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Cette thèse aborde principalement le rôle que jouent les radars polarimétrique et interférométrique dans les applications de géosciences, tout particulièrement sur les forêts. Il est démontré que les modèles actuels simples de la corrélation spatiale des milieux naturels sont capables d'estimer de manière robuste la hauteur de la forêt et sa biomasse; lorsque la topographie est peu prononcée. La corrélation temporelle y est traitée plus précisément en définissant une fonction de corrélation temporelle dépendant de la hauteur de la canopée. Les effets de cette amélioration sur la modélisation d

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11

Lao, Yin, and 劉然. "Image matching of running vehicles." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30278806.

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12

O'Donnell, Erin. "Detection and identification of effluent gases using invariant hyperspectral algorithms /." Link to online verson, 2005. https://ritdml.rit.edu/dspace/handle/1850/1124.

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13

Kinda, Bazile. "Acoustic remote sensing of Arctic Sea Ice from long term soundscape measurements." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00940393.

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La fonte rapide des glaces de l'Arctique dans le contexte actuel du réchauffement climatique est un sujet scientifique majeur de ces 30 dernières années. L'Arctique joue un rôle fondamental dans l'équilibre du climat et requiert une attention particulière. Les régions arctiques sont alors surveillées par des observations satellitaires et des mesures in-situ. L'impact climatique de la fonte totale de la glace arctique est encore mal connu. Des recherches sont donc nécessaires pour le suivi à long terme de l'Océan Arctique, en particulier la dynamique spatio-temporelle de la couverture de glace

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14

Jonsson, Patrik. "Surface Status Classification, Utilizing Image Sensor Technology and Computer Models." Doctoral thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24828.

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There is a great need to develop systems that can continuously provide correct information about road surface status depending on the prevailing weather conditions. This will minimize accidents and optimize transportation. In this thesis different methods for the determination of the road surface status have been studied and analyzed, and suggestions of new technology are proposed. Information about the road surface status is obtained traditionally from various sensors mounted directly in the road surface. This information must then be analyzed to create automated warning systems for road user

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15

Lloyd, Timothy Brian. "Surface extraction from coordinate measurement data to facilitate dimensional inspection." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15815.

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16

Wolters, Dustin Joseph. "Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

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17

Gallego, Bonet Guillermo. "Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39480.

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A novel video observational method for the space-time stereoscopic reconstruction of dynamic surfaces representable as graphs, such as ocean waves, is developed. Variational optimization algorithms combining image processing, computer vision and partial differential equations are designed to address the problem of the recovery of the shape of an object's surface from sequences of synchronized multi-view images. Several theoretical and numerical paths are discussed to solve the problem. The variational stereo method developed in this thesis has several advantages over existing 3-D reconstructio

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18

Cai, Shangshu. "Hyperspectral image visualization using double and multiple layers." Diss., Mississippi State : Mississippi State University, 2009. http://library.msstate.edu/etd/show.asp?etd=etd-12082008-112300.

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19

Shor, Eric H. "3-D longwave infrared synthetic scene simulation /." Online version of thesis, 1990. http://hdl.handle.net/1850/11361.

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20

Kidane, Dawit K. "Rule-based land cover classification model : expert system integration of image and non-image spatial data." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50445.

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Thesis (MSc)--Stellenbosch University, 2005.<br>ENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of land cover and land use mapping, it is not without limitations. The accuracy of image analysis depends on a number of factors, of which the image classifier used is probably the most significant. It is noted that there is no perfect classifier, but some robust classifiers achieve higher accuracy results than others. For certain land cover/uses, discrimination based on

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Grant, Cameron S. "Incorporating Spatial Information into Gas Plume Detection in Hyperspectral Imagery." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/823.

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Detection of chemical plumes in hyperspectral data is a problem having solutions that focus on spectral information. These solutions neglect the presence of the spatial information in the scene. The spatial information is exploited in this work by assignment of prior probabilities to neighborhood configurations of signal presence or absence. These probabilities are leveraged in a total probability approach to testing for signal presence in a pixel of interest. The two new algorithms developed are named spatial information detection enhancement (SIDE) and bolt-on SIDE (B-SIDE). The results are

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22

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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Santos, Jefersson Alex dos 1984. "Reconhecimento semi-automatico e vetorização de regiões em imagens de sensoriamento remoto." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276150.

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Orientador: Ricardo da Silva Torres<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-13T10:41:05Z (GMT). No. of bitstreams: 1 Santos_JeferssonAlexdos_M.pdf: 3412363 bytes, checksum: 9f3c3640964ef3c4b39b2ee532941a42 (MD5) Previous issue date: 2009<br>Resumo: O uso de imagens de sensoriamento remoto (ISRs) como fonte de informação em aplicações voltadas para o agro-negócio e bastante comum. Nessas aplicações, saber como é a ocupação espacial é fundamental. Entretanto, reconhecer e diferenciar regiões de culturas agríc

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24

De, Franchis Carlo. "Earth Observation and Stereo Vision." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLN002/document.

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Cette thèse étudie les problèmes posés par l’estimation automatique de modèles numériques d’élévation de la surface terrestre à partir de photographies prises par des satellites. Ce travail a bénéficié d’une collaboration avec le CNES (Centre National d’Etudes Spatiales) sur le développement d’outils de vision stéréoscopique pour Pléiades, le premier satellite d’observation de la Terre capable de produire des paires ou triplets d’images quasi-simultanées. Le premier chapitre de la thèse décrit un modèle simplifié de caméra pushbroom destiné aux satellites d’observation de la Terre, et aborde l

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25

Patruno, Jolanda. "Polarimetric RADARSAT-2 and ALOS PALSAR multi-frequency analysis over the archaeological site of Gebel Barkal (Sudan)." Phd thesis, Université Rennes 1, 2014. http://tel.archives-ouvertes.fr/tel-01061287.

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Aim of PhD research is to exploit SAR Polarimetry technique for the identification of surface and subsurface archaeological features in the site of Gebel Barkal (Sudan), inscribed in the UNESCO World Heritage List since 2003. Sand penetration capability of both C-band and L-band sensors are discussed analysing archived ALOS PALSAR and RADARSAT-2 specifically acquired (2012-2013) images. Moreover, the research activity illustrates the potential of integrating SAR polarimetric and optical satellite data in a dedicated GIS project, realised in collaboration with the Universities of Turin and Veni

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26

Dore, Nicole. "Polarimetric multi-incidence angle analysis over the archaeological site of Samarra by means of RADARSAT-2 and ALOS PALSAR satellites datasets." Phd thesis, Université Rennes 1, 2014. http://tel.archives-ouvertes.fr/tel-01060848.

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This work has as goal to study the microwaves behavior over the archaeological structures still visible in the historical city of Samarra, the capital of the ancient Abbasid Caliphate located in Iraq. Three areas were taken into account for the Ph.D. research: an octagonal city, three racecourses stadiums and the city of al-Mutawakkiliyya. Threats to which the site is exposed and its historical importance let the city to be inscribed in the list of UNESCO sites in danger (2007). This gave a reason more to investigate this area by means of SAR RADARSAT-2 and ALOS PALSAR satellites. SAR potentia

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27

Romero, Adriana. "Assisting the training of deep neural networks with applications to computer vision." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/316577.

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Deep learning has recently been enjoying an increasing popularity due to its success in solving challenging tasks. In particular, deep learning has proven to be effective in a large variety of computer vision tasks, such as image classification, object recognition and image parsing. Contrary to previous research, which required engineered feature representations, designed by experts, in order to succeed, deep learning attempts to learn representation hierarchies automatically from data. More recently, the trend has been to go deeper with representation hierarchies. Learning (very) deep represe

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28

Kurtz, Camille. "Une approche collaborative segmentation - classification pour l'analyse descendante d'images multirésolutions." Phd thesis, Université de Strasbourg, 2012. http://tel.archives-ouvertes.fr/tel-00735217.

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Depuis la fin des années 1990, les images optiques à très hautes résolutions spatiales issues de capteurs satellitaires sont de plus en plus accessibles par une vaste communauté d'utilisateurs. En particulier, différents systèmes satellitaires sont maintenant disponibles et produisent une quantité de données importante, utilisable pour l'observation de la Terre. En raison de cet important volume de données,les méthodes analytiques manuelles deviennent inadaptées pour un traitement efficace de ces données. Il devient donc crucial d'automatiser ces méthodes par des procédés informatiques, capabl

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29

(9187466), Bharath Kumar Comandur Jagannathan Raghunathan. "Semantic Labeling of Large Geographic Areas Using Multi-Date and Multi-View Satellite Images and Noisy OpenStreetMap Labels." Thesis, 2020.

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<div>This dissertation addresses the problem of how to design a convolutional neural network (CNN) for giving semantic labels to the points on the ground given the satellite image coverage over the area and, for the ground truth, given the noisy labels in OpenStreetMap (OSM). This problem is made challenging by the fact that -- (1) Most of the images are likely to have been recorded from off-nadir viewpoints for the area of interest on the ground; (2) The user-supplied labels in OSM are frequently inaccurate and, not uncommonly, entirely missing; and (3) The size of the area covered on the gro

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30

Uttam, Kumar *. "Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2280.

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Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of

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31

"Acquisition and modeling of 3D irregular objects." Chinese University of Hong Kong, 1994. http://library.cuhk.edu.hk/record=b5888184.

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by Sai-bun Wong.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1994.<br>Includes bibliographical references (leaves 127-131).<br>Abstract --- p.v<br>Acknowledgment --- p.vii<br>Chapter 1 --- Introduction --- p.1-8<br>Chapter 1.1 --- Overview --- p.2<br>Chapter 1.2 --- Survey --- p.4<br>Chapter 1.3 --- Objectives --- p.6<br>Chapter 1.4 --- Thesis Organization --- p.7<br>Chapter 2 --- Range Sensing --- p.9-30<br>Chapter 2.1 --- Alternative Approaches to Range Sensing --- p.9<br>Chapter 2.1.1 --- Size Constancy --- p.9<br>Chapter 2.1.2 --- Defocusing --- p.11<br>Chapter 2.1.3 -

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Fauvel, Mathieu. "Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data." Phd thesis, 2007. http://tel.archives-ouvertes.fr/tel-00258717.

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Lors de ces travaux, nous nous sommes intéressés au problème de la classification supervisée d'images satellitaires de<br /> zones urbaines. Les données traitées sont des images optiques à très hautes résolutions spatiales: données panchromatiques à très haute résolution spatiale (IKONOS, QUICKBIRD, simulations PLEIADES) et des images hyperspectrales (DAIS, ROSIS).<br />Deux stratégies ont été proposées.<br />La première stratégie consiste en une phase d'extraction de caractéristiques spatiales et spectrales suivie d'une phase de classification. Ces caractéristiques sont extraites par filtrage

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33

Wiemker, Rafael. "The Color Constancy Problem in Multispectral Remote Sensing - On the Impact of Surface Orientation on Spectral Signatures." Phd thesis, 1997. http://tel.archives-ouvertes.fr/tel-00010773.

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34

"Monitoring Physiological Signals Using Camera." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.41236.

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abstract: Monitoring vital physiological signals, such as heart rate, blood pressure and breathing pattern, are basic requirements in the diagnosis and management of various diseases. Traditionally, these signals are measured only in hospital and clinical settings. An important recent trend is the development of portable devices for tracking these physiological signals non-invasively by using optical methods. These portable devices, when combined with cell phones, tablets or other mobile devices, provide a new opportunity for everyone to monitor one’s vital signs out of clinic. This thesis wo

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LORENZI, Luca. "Development of an Innovative System for the Reconstruction of New Generation Satellite Images." Phd thesis, 2012. http://tel.archives-ouvertes.fr/tel-00816978.

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Les satellites de télédétection sont devenus incontournables pour la société civile. En effet, les images satellites ont été exploitées avec succès pour traiter plusieurs applications, notamment la surveillance de l'environnement et de la prévention des catastrophes naturelles. Dans les dernières années, l'augmentation de la disponibilité de très haute résolution spatiale (THR) d'images de télédétection abouti à de nouvelles applications potentiellement pertinentes liées au suivi d'utilisation des sols et à la gestion environnementale. Cependant, les capteurs optiques, en raison du fait qu'ils

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36

MCQUAT, Gregory John. "Feature Extraction Workflows for Urban Mobile-Terrestrial LiDAR Data." Thesis, 2011. http://hdl.handle.net/1974/6530.

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Mobile Terrestrial LiDAR (MTL) is an active remote sensing technology that uses laser-based ranging and global positioning systems (GPS) to record 3D point location measurements on surfaces within and near transportation corridors, such as along a railroad track or a street. This thesis examines geovisualization for improving user-oriented workflows and also examines geographic object-based image analysis (GEOBIA) for the development of automated feature extraction. A LiDAR sensor-centric perspective during the data acquisition phase is used to organize data for the user and to transform the

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WANG, Bo. "Radar à synthèse d'ouverture polarimétrique pour la caractérisation de la surface de la mer et la détection de navire." Phd thesis, 2013. http://tel.archives-ouvertes.fr/tel-00979001.

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In our study, sea surface characteristics imaged by multi-polarization space-borne synthetic aperture radar (SAR) have been investigated. For the first time, a decomposition of different scattering mechanisms have been performed for ocean satellite SAR imagery to better understand the non-Bragg (Scalar) contribution to the total radar cross section (RCS) and Doppler measurements. Characteristics retrieval and target classification have been established, using polarimetry and Bayesian detection theories. There are generally three types of surface scattering mechanisms occurring when the sea sur

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