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Pointwise approach for texture analysis and characterization from very high resolution remote sensing images / Minh-Tan Pham (2016)
Titre : Pointwise approach for texture analysis and characterization from very high resolution remote sensing images Type de document : Thèse/HDR Auteurs : Minh-Tan Pham, Auteur ; Grégoire Mercier, Directeur de thèse Editeur : Université Bretagne Loire Année de publication : 2016 Importance : 177 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse pour obtenir le grade de Docteur de Telecom Bretagne, Mention : Sciences et Technologies de l'Information et de la Communication, en Informatique Traitement des imagesLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification
[Termes IGN] classification pixellaire
[Termes IGN] covariance
[Termes IGN] détection de changement
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] matrice de covariance
[Termes IGN] segmentation d'image
[Termes IGN] texture d'image
[Termes IGN] théorie des graphes
[Termes IGN] viticultureIndex. décimale : THESE Thèses et HDR Résumé : (auteur) This thesis work proposes a novel pointwise approach for texture analysis in the scope of very high resolution (VHR) remote sensing imagery. This approach takes into consideration only characteristic pixels, not all pixels of the image, to represent and characterize textural features. Due to the fact that increasing the spatial resolution of satellite sensors leads to the lack of stationarity hypothesis in the acquired images, such an approach becomes relevant since only the interaction and characteristics of keypoints are exploited. Moreover, as this technique does not need to consider all pixels inside the image like classical dense approaches, it is more capable to deal with large-size image data offered by VHR remote sensing acquisition systems. In this work, our pointwise strategy is performed by exploiting the local maximum and local minimum pixels (in terms of intensity) extracted from the image. It is integrated into several texture analysis frameworks with the help of different techniques and methods such as the graph theory, the covariance-based approach, the geometric distance measurement, etc. As a result, a variety of texture-based applications using remote sensing data (both VHR optical and radar images) are tackled such as image retrieval, segmentation, classification, and change detection, etc. By performing dedicated experiments to each thematic application, the effectiveness and relevance of the proposed approach are confirmed and validated. Note de contenu : I- Introduction
II- Pointwise approach with graph theory
III- Pointwise approach with structural features
IV ConclusionNuméro de notice : 25815 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Informatique Traitement des images : Telecom Bretagne : 2016 nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-01464333v2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95080 Calibration of SAR polarimetric images by means of a covariance matching approach / Alberto Villa in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)
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Titre : Calibration of SAR polarimetric images by means of a covariance matching approach Type de document : Article/Communication Auteurs : Alberto Villa, Auteur ; Lorenzo Iannini, Auteur ; Davide Giudici, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 674 - 686 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] appariement d'images
[Termes IGN] covariance
[Termes IGN] données polarimétriques
[Termes IGN] étalonnage des données
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] matrice de covariance
[Termes IGN] polarimétrie radarRésumé : (Auteur) In this paper, a numerical method optimizer based on covariance matching is proposed for synthetic aperture radar (SAR) polarimetric calibration. The method makes use of the information provided by a distributed target and a corner reflector in order to jointly estimate the system polarimetric distortion parameters and the Faraday rotation. A preliminary analysis is conducted to show the expected accuracy values and to identify the intrinsic ambiguities of the problem. Results from simulations are shown to assess the accuracy and convergence of the method. Finally, tests have been conducted on stack of repeated full polarimetric ALOS PALSAR images to check the stability of the retrieved distortion parameters in a realistic case. Numéro de notice : A2015-107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2326955 En ligne : https://doi.org/10.1109/TGRS.2014.2326955 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75625
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 2 (February 2015) . - pp 674 - 686[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015021 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Statistical analysis handbook : a comprehensive handbook of statistical concepts, techniques and software tools Type de document : Guide/Manuel Auteurs : Michael J. de Smith, Auteur Editeur : STAT!Ref Année de publication : 2015 Importance : 677 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse de données
[Termes IGN] autocorrélation
[Termes IGN] corrélation
[Termes IGN] covariance
[Termes IGN] données statistiques
[Termes IGN] estimation statistique
[Termes IGN] exploration de données
[Termes IGN] régression
[Termes IGN] série temporelle
[Termes IGN] statistique descriptive
[Termes IGN] variable aléatoire
[Termes IGN] varianceIndex. décimale : 23.60 Statistiques et probabilités Résumé : (Auteur) [Introduction] The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades. Here are two contrasting definitions of what statistics is, from eminent professors in the field, some 60+ years apart: "Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena. In this definition 'natural phenomena' includes all the happenings of the external world, whether human or not." Professor Maurice Kendall, 1943, p2 [MK1]
"Statistics is: the fun of finding patterns in data; the pleasure of making discoveries; the import of deep philosophical questions; the power to shed light on important decisions, and the ability to guide decisions..... in business, science, government, medicine, industry..." Professor David Hand [DH1]
As these two definitions indicate, the discipline of statistics has moved from being grounded firmly in the world of measurement and scientific analysis into the world of exploration, comprehension and decision-making. At the same time its usage has grown enormously, expanding from a relatively small set of specific application areas (such as design of experiments and computation of life insurance premiums) to almost every walk of life. A particular feature of this change is the massive expansion in information (and misinformation) available to all sectors and age-groups in society. Understanding this information, and making well-informed decisions on the basis of such understanding, is the primary function of modern statistical methods.
Our objective in producing this Handbook is to be comprehensive in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation. However, we believe that it is no longer appropriate to think of a standard, discipline-specific textbook as capable of satisfying every kind of new user need. Accordingly, an innovative feature of our approach here is the range of formats and channels through which we disseminate the material - web, ebook and in due course, print. A major advantage of the electronic formats is that the text can be embedded with internal and external hyperlinks. In this Handbook we utilize both forms of link, with external links often referring to a small number of well-established sources, notably MacTutor for bibliographic information and a number of other web resources, such as Eric Weisstein's Mathworld and the statistics portal of Wikipedia, for providing additional material on selected topics. The treatment of topics in this Handbook is relatively informal, in that we do not provide mathematical proofs for much of the material discussed. However, where it is felt particularly useful to clarify how an expression arises, we do provide simple derivations. More generally we adopt the approach of using descriptive explanations and worked examples in order to clarify the usage of different measures and procedures. Frequently convenient software tools are used for this purpose, notably SPSS/PASW, The R Project, MATLab and a number of more specialized software tools where appropriate.
Just as all datasets and software packages contain errors, known and unknown, so too do all books and websites, and we expect that there will be errors despite our best efforts to remove these! Some may be genuine errors or misprints, whilst others may reflect our use of specific versions of software packages and their documentation. Inevitably with respect to the latter, new versions of the packages that we have used to illustrate this Handbook will have appeared even before publication, so specific examples, illustrations and comments on scope or restrictions may have been superseded. In all cases the user should review the documentation provided with the software version they plan to use, check release notes for changes and known bugs, and look at any relevant online services (e.g. user/developer forums and blogs on the web) for additional materials and insights. The interactive web version of this Handbook may be accessed via the associated Internet site: www.statsref.com. The contents and sample sections of the PDF version may also be accessed from this site. In both cases the information is regularly updated. The Internet is now well established as society’s principal mode of information exchange, and most aspiring users of statistical methods are accustomed to searching for material that can easily be customized to specific needs. Our objective for such users is to provide an independent, reliable and authoritative first port of call for conceptual, technical, software and applications material that addresses the panoply of new user requirements.
Readers wishing to obtain a more in-depth understanding of the background to many of the topics covered in this Handbook should review the Suggested Reading topic. Those seeking examples of software tools that might be used for statistical analysis should refer to the Software section.Note de contenu : Introduction
- Statistical data
- Statistical concepts
- Descriptive statistics
- Key functions and expressions
- Data transformation and standardization
- Data exploration
- Randomness and randomization
- Correlation and autocorrelation
- Estimation and estimators
- Classical tests
- Contingency tables
- Design of experiments
- Analysis of variance and covariance
- Regression and smoothing
- Time series analysis and temporal autocorrelation
- Resources (Distribution tables, R code snippets, Statistical software etc)
Afterword: Big DataNuméro de notice : 22862 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Manuel En ligne : http://www.statsref.com/HTML/index.html Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89298 Impact of signal contamination on the adaptive detection performance of local hyperspectral anomalies / Stefania Matteoli in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)
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Titre : Impact of signal contamination on the adaptive detection performance of local hyperspectral anomalies Type de document : Article/Communication Auteurs : Stefania Matteoli, Auteur ; Marco Diani, Auteur ; Giovanni Corsini, Auteur Année de publication : 2014 Article en page(s) : pp 1948 - 1968 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] contamination
[Termes IGN] covariance
[Termes IGN] dégradation du signal
[Termes IGN] détection d'anomalie
[Termes IGN] filtrage du bruit
[Termes IGN] image hyperspectrale
[Termes IGN] rapport signal sur bruit
[Termes IGN] signature spectrale
[Termes IGN] variabilitéRésumé : (Auteur) The effects of signal contamination of secondary data are investigated in the framework of adaptive target detection in remotely sensed hyperspectral images. In contrast to previous studies on signal contamination, the focus of this paper is the detection of targets with unknown spectral signatures (i.e., anomalies) and adaptive detection methods based on a local estimation of the background covariance matrix. Contamination due to the target signal is expected to have a more severe impact when the number of secondary data is limited. An analytical model for signal contamination is developed that allows variability in the extent of contamination. Several parameters, such as the contamination fraction of secondary data and the contaminating signal energy, are introduced, and a contaminating signal-to-interference-plus-noise ratio is derived as an objective measure of contamination. The proposed model is employed to experimentally evaluate signal contamination effects and the impact of its variability on the performance of adaptive detection of local anomalies. The outcomes of the experimental study are substantiated by validation with real hyperspectral data. The results obtained highlight the relevance that the impact of signal contamination, assessed with respect to different system parameters, may have for practical applications. This paper represents a starting point for the development of detection performance forecasting models that consider signal contamination. Numéro de notice : A2014-266 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2256915 En ligne : https://doi.org/10.1109/TGRS.2013.2256915 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33169
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 4 (April 2014) . - pp 1948 - 1968[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Robust estimations for the nonlinear Gauss Helmert model by the expectation maximization algorithm / Karl Rudolf Koch in Journal of geodesy, vol 88 n° 3 (March 2014)
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Titre : Robust estimations for the nonlinear Gauss Helmert model by the expectation maximization algorithm Type de document : Article/Communication Auteurs : Karl Rudolf Koch, Auteur Année de publication : 2014 Article en page(s) : pp 263 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Mathématique
[Termes IGN] covariance
[Termes IGN] modèle de Gauss-Helmert
[Termes IGN] modèle linéaire
[Termes IGN] télémètre laser à balayageRésumé : (Auteur) For deriving the robust estimation by the EM (expectation maximization) algorithm for a model, which is more general than the linear model, the nonlinear Gauss Helmert (GH) model is chosen. It contains the errors-in-variables model as a special case. The nonlinear GH model is difficult to handle because of the linearization and the Gauss Newton iterations. Approximate values for the observations have to be introduced for the linearization. Robust estimates by the EM algorithm based on the variance-inflation model and the mean-shift model have been derived for the linear model in case of homoscedasticity. To derive these two EM algorithms for the GH model, different variances are introduced for the observations and the expectations of the measurements defined by the linear model are replaced by the ones of the GH model. The two robust methods are applied to fit by the GH model a polynomial surface of second degree to the measured three-dimensional coordinates of a laser scanner. This results in detecting more outliers than by the linear model. Numéro de notice : A2014-135 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-013-0681-9 Date de publication en ligne : 15/12/2013 En ligne : https://doi.org/10.1007/s00190-013-0681-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33040
in Journal of geodesy > vol 88 n° 3 (March 2014) . - pp 263 - 271[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2014031 SL Revue Centre de documentation Revues en salle Disponible Efficient estimation of variance and covariance components : A case study for GPS stochastic model evaluation / B. Li in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)PermalinkA comparison of recent Earth gravitational models with emphasis on their contribution in refining the gravity and geoid at continental or regional scale / D. Arabelos in Journal of geodesy, vol 84 n° 11 (November 2010)PermalinkApproximating covariance matrices estimated in multivariate models by estimated auto- and cross-covariances / Karl Rudolf Koch in Journal of geodesy, vol 84 n° 6 (June 2010)PermalinkReal-time registration of airborne laser with sub-decimeter accuracy / Jan Skaloud in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkConsideration of time-correlated errors in a Kalman filter applicable to GNSS / M.G. Potovello in Journal of geodesy, vol 83 n° 1 (January 2009)PermalinkCounting equivalent correlators: quantifying the number for GNSS acquisition engine architectures / A. Genghi in GPS world, vol 20 n° 1 (January 2009)PermalinkEstimating sea floor dynamics in the southern North Sea to improve bathymetric survey planning / L. Dorst (2009)PermalinkLocal solutions to inverse problems in geodesy: The impact of the noise covariance structure upon the accuracy of estimation / F. Bauer in Journal of geodesy, vol 81 n° 1 (January 2007)PermalinkChoix optimal d'un modèle analytique de covariance pour la validation des mesures gravimétriques par la méthode de collocation (application : nord de l'Algérie) / S.A. Benahmed Daho in XYZ, n° 108 (septembre - novembre 2006)PermalinkPermalink