Download or read book Caracterisation de textures d images radar par reseaux de neurones written by Philippe Mainguenaud and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Segmentation d images par analyse de texture written by Christine Fernandez-Maloigne (électronicienne) and published by . This book was released on 1995 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book RESEAUX DE NEURONES ALEATOIRES ET TEXTURES D IMAGES written by Mehmet Volkan Atalay and published by . This book was released on 1993 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: LA TEXTURE QUI RELIE LES DONNEES BRUTES, SIMPLEMENTS LES NIVEAUX DE GRIS, D'UNE IMAGE AUX CONCEPTS PLUS ABSTRAITS, EST L'UN DES ELEMENTS ESSENTIELS DE LA VISION PAR ORDINATEUR. CE TRAVAIL VISE A APPLIQUER LE MODELE DE RESEAU DE NEURONES ALEATOIRES A LA TEXTURE D'IMAGES. DES ALGORITHMES NEURONAUX POUR GENERER DES TEXTURES ARTIFICIELLES, STOCHASTIQUES ET HOMOGENES SONT DEVELOPPES. LA TOPOLOGIE DU RESEAU EST CHOISIE DE FACON A CARACTERISER LES INTERACTIONS ENTRE LES PIXELS. DIFFERENTES INTERACTIONS CORRESPONDANT AUX DIFFERENTES VALEURS DES POIDS SYNAPTIQUES DU RESEAU DETERMINENT LA FORME DE TEXTURE A GENERER. LE MODELE DE RESEAU DE NEURONES ALEATOIRES AVEC CLASSES DE SIGNAUX EST EXAMINE POUR LA GENERATION DE TEXTURES COULEUR. LES CLASSES DE SIGNAUX SONT UTILISEES AFIN DE REPRESENTER LES COULEURS PRIMAIRES, ROUGE, VERT ET BLEU. L'ALGORITHME DE GENERATION EST IMPLEMENTE SUR DIFFERENTES MACHINES PARALLELES ET DES ACCELERATIONS QUASI-LINEAIRES SONT OBTENUES. L'APPRENTISSAGE DES POIDS SYNAPTIQUES DU RESEAU NEURONAL PERMET DE RECONSTRUIRE UNE TEXTURE PRESENTEE A L'ENTREE. L'ALGORITHME D'APPRENTISSAGE REPOSE SUR LA DESCENTE DU GRADIENT DE LA FONCTION D'ERREUR QUADRATIQUE. CETTE APPROCHE PERMET D'IMITER UNE MICRO-TEXTURE HOMOGENE ET ARTIFICIELLE DONNEE AVEC FAIBLES TAUX D'ERREUR DE BIT. LE COMPORTEMENT STOCHASTIQUE DU MODELE DE RESEAUX DE NEURONES ALEAETOIRES S'ACCORD BIEN AVEC LE TYPE DES TEXTURES CONSIDEREES. LES ALGORITHMES PROPOSES NECESSITENT PEU DE PARAMETRES ET PEU D'OPERATIONS, ET ILS PEUVENT ETRE PARALLELISES FACILEMENT.
Download or read book METHODES DE CLASSIFICATION APPLIQUEES A L IMAGERIE RADAR MULTIPOLARISEE written by SABINE.. CAILLAULT VOYER and published by . This book was released on 1993 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: LE SUJET DU TRAVAIL PRESENTE DANS CE MEMOIRE CONCERNE L'ETUDE ET LE DEVELOPPEMENT DE METHODES DE CLASSIFICATION APPLIQUEES AUX IMAGES RADAR MULTIPOLARISEES. DES CAMPAGNES DE MESURES PERMETTANT L'ACQUISITION D'IMAGES HOLOGRAPHIQUES MULTIPOLARISEES DE CIBLES GEOMETRIQUES SIMPLES ONT ETE REALISEES A L'AIDE DU SYSTEME DE MESURES DE L'IRESTE. L'INTERPRETATION DES IMAGES A NECESSITE UNE ANALYSE GEOMETRIQUE ET RADIOMETRIQUE FINE DES IMAGES. LES RESULTATS QUI EN DECOULENT SONT ESSENTIELS POUR LA CARACTERISATION DE CIBLES. UNE METHODE DE CLASSIFICATION DE CIBLES GEOMETRIQUES SIMPLES A ETE DEVELOPPEE ET APPLIQUEE AUX IMAGES ACQUISES AU COURS DES CAMPAGNES DE MESURES. CET ALGORITHME PERMET DE CLASSER AUTOMATIQUEMENT LES CONTRIBUTEURS INDUITS PAR LA CIBLE DANS UN ENSEMBLE DE REFERENCE. LES TROIS ETAPES PRINCIPALES DE CET ALGORITHME SONT: UNE ETAPE D'EXTRACTION AUTOMATIQUE DES ZONES BRILLANTES, LA CONSTRUCTION D'UN VECTEUR CARACTERISTIQUE ET LA CLASSIFICATION A L'AIDE DE RESEAUX DE NEURONES. POUR LA CARACTERISATION DE CIBLES ETENDUES, LA METHODE DE DECOMPOSITION POLARIMETRIQUE PROPOSEE PAR FREEMAN A ETE EXPLOITEE. DEVANT LA DIFFICULTE D'INTERPRETATION DES RESULTATS OBTENUS, UNE AUTRE METHODE, AUTOMATIQUE, A ETE DEVELOPPEE: METHODE DE SEGMENTATION ET CARACTERISATION DE ZONES (MSC). LA SEGMENTATION PERMET DE CLASSER CHAQUE PIXEL DANS UNE PARTITION A L'AIDE DE RESEAUX DE NEURONES EN PRENANT EN COMPTE L'EVOLUTION STATISTIQUE DES PARAMETRES DE HUYNEN AUTOUR DU PIXEL. LA SECONDE ETAPE PERMET DE CARACTERISER PLUS FINEMENT DES ZONES GRACE A UN VECTEUR DE CLASSIFICATION PERFORMANT. LES RESULTATS ISSUS DE CES DEUX METHODES SONT PRESENTES ET COMPARES SUR DES IMAGES ACQUISES PAR LE SYSTEME AIRSAR DU JPL. LES ALGORITHMES, QUI RESULTENT DE CETTE ETUDE, PEUVENT ETRE UTILISES POUR L'EXPLOITATION D'IMAGES RADAR COMME AIDE A L'INTERPRETATION. CE SONT EGALEMENT DES OUTILS D'ANALYSE THEMATIQUE PERMETTANT D'ENRICHIR, PAR EXEMPLE, LA COMPARAISON ENTRE DIFFERENTES BANDES DE FREQUENCE
Download or read book Classification de cibles navales l aide de r seaux de neurones partir d images radar synth se d ouverture written by Daniel Lefebvre and published by . This book was released on 1999 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Wadi Flash Floods written by Tetsuya Sumi and published by Springer Nature. This book was released on 2021-10-11 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book brings together research studies, developments, and application-related flash flood topics on wadi systems in arid regions. The major merit of this comprehensive book is its focus on research and technical papers as well as case study applications in different regions worldwide that cover many topics and answer several scientific questions. The book chapters comprehensively and significantly highlight different scientific research disciplines related to wadi flash floods, including climatology, hydrological models, new monitoring techniques, remote sensing techniques, field investigations, international collaboration projects, risk assessment and mitigation, sedimentation and sediment transport, and groundwater quality and quantity assessment and management. In this book, the contributing authors (engineers, researchers, and professionals) introduce their recent scientific findings to develop suitable, applicable, and innovative tools for forecasting, mitigation, and water management as well as society development under seven main research themes as follows: Part 1. Wadi Flash Flood Challenges and Strategies Part 2. Hydrometeorology and Climate Changes Part 3. Rainfall–Runoff Modeling and Approaches Part 4. Disaster Risk Reduction and Mitigation Part 5. Reservoir Sedimentation and Sediment Yield Part 6. Groundwater Management Part 7. Application and Case Studies The book includes selected high-quality papers from five series of the International Symposium on Flash Floods in Wadi Systems (ISFF) that were held in 2015, 2016, 2017, 2018, and 2020 in Japan, Egypt, Oman, Morocco, and Japan, respectively. These collections of chapters could provide valuable guidance and scientific content not only for academics, researchers, and students but also for decision-makers in the MENA region and worldwide.
Download or read book Mapping and Spatial Analysis of Socio economic and Environmental Indicators for Sustainable Development written by Noamen Rebai and published by Springer. This book was released on 2019-08-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents most recent research studies on mapping and spatial analysis of socio-economic and environmental indicators used by various national and international contributors to regional development projects. It gathers the best contributions to the 1st International Conference on Mapping and Spatial Analysis of Socio-Economic and Environmental Indicators for the Local and Regional Sustainable Development. The conference was held in southern Tunisia, Tataouine in March 2015.The research studies focused on generating and analyzing indicators in various domains of Agriculture, Energy, Industry, Tourism, Transport, Urban Planning, Exploitation of Natural Resources, Infrastructure, Health, Environment, Education, Information and Communication Technologies, Social Affairs and Employability, and Culture and Sport. Socio-economic and environmental indicators are important in regional development plans and strategies as they allow to observe and analyze changes in the economic growth and to measure their impact on the environment and on social networks/daily life of citizens. On the basis of well-defined geomatic approaches, and particularly, through sophisticated digital mapping and spatio-temporal analyses, authors focused on retrieving indicators to evaluate the exploitation rate of natural resources, intensity of the energy consumption in various economic sector, net migratory flows, quality checking of the air in urban areas, adaptation to climate change, and vulnerability of the coastal domain and risk of marine submersion due to sea-level rise. The book is of interest not only to investors and contributors to regional development projects, but also to all relevant policy makers.
Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1999 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing written by Jean-Francois Giovannelli and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.
Download or read book Local Approximation Techniques in Signal and Image Processing written by Vladimir I︠A︡kovlevich Katkovnik and published by SPIE-International Society for Optical Engineering. This book was released on 2006 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.
Download or read book Bayesian Approach to Inverse Problems written by Jérôme Idier and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data. Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise. Regularization is the key concept to solve inverse problems. The goal of this book is to deal with inverse problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three chapters bring the theoretical notions that make it possible to cast inverse problems within a mathematical framework. The next three chapters address the fundamental inverse problem of deconvolution in a comprehensive manner. Chapters 7 and 8 deal with advanced statistical questions linked to image estimation. In the last five chapters, the main tools introduced in the previous chapters are put into a practical context in important applicative areas, such as astronomy or medical imaging.
Download or read book Progress in Landslide Science written by Kyoji Sassa and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents current progress in landslide science and consists of four parts: progress in landslide science, landslide dynamics, landslide monitoring, and landslide risk assessment. It provides useful information to those working on landslide risk-mitigation planning. It can be also used as an introductory textbook for college students who wish to learn fundamental scientific achievements in the field of landslide disaster reduction.
Download or read book RTMAP Regolith Database Field Book and Users Guide written by and published by . This book was released on 2007 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Photon to Pixel written by Henri Maître and published by John Wiley & Sons. This book was released on 2015-10-26 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital camera conceals remarkable technological innovations that affect the formation of the image, the color representation or automated measurements and settings. ** From photon to pixel photon ** describes the device both from the point of view of the physics of the phenomena involved, as technical components and software it uses. Based on the perceptual properties of the visual system as well as on standard transmission and representation, analyzes the solutions to meet the demands of the photographer on the development, contrast, white balance or stabilization of image. The advanced architectures adopted in mobile phones and developments of computational photography are also presented, foreshadowing the features of the future device.
Download or read book Landslide Risk Assessment written by David Cruden and published by Routledge. This book was released on 2018-05-02 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 25 papers collected together in this volume present comprehensive coverage of all major aspects of landslide risk assessment, including the risk assessment framework, and methods for estimating probability of landsliding vulnerability and risk.
Download or read book Remote Sensing written by Robert A. Schowengerdt and published by Elsevier. This book was released on 2012-12-02 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery.The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
