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Fusion Dimages En Teledetection Satellitaire
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Book Synopsis Fusion d'images en télédétection satellitaire by : Miloud Chikr El Mezouar
Download or read book Fusion d'images en télédétection satellitaire written by Miloud Chikr El Mezouar and published by . This book was released on 2012 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Les satellites d'observation de la Terre fournissent des données multi-spectrales et panchromatiques ayant différentes résolutions spatiales, spectrales, temporelles, et radiométriques. La fusion d'une image panchromatique ayant une haute résolution spatiale, mais une basse résolution spectrale avec une image multi-spectrale ayant une basse résolution spatiale mais une haute résolution spectrale est très utile dans de nombreuses applications de télédétection nécessitant à la fois de hautes résolutions spatiales et spectrales. Dans l'image fusionnée les structures et les objets sont bien rehaussés, et la classification de ces objets devient plus précise. Ces techniques de traitement d'image sont connues sous le nom de pansharpening ou les techniques de fusion de résolutions. Dans cette thèse, trois algorithmes sont proposés pour la fusion dont deux dans la catégorie de substitution de composants où nos principales contributions consistent à utiliser la transformée IHS et rehausser la bande verte dans les zones de végétation. Dans le premier algorithme, la végétation est détectée en utilisant l’indice NDVI et le rehaussement de la végétation est effectué avant le processus de fusion. En revanche, pour le second algorithme le rehaussement de la végétation se fait après le processus de fusion et la végétation est délimitée à l'aide d'un nouvel indice (HRNDVI) proposé pour des images de hautes résolutions. HRNDVI est utilisé dans l'extraction de la végétation, même dans le cas complexe des zones urbaines où la végétation est dispersée. Ainsi, en utilisant HRNDVI, une nouvelle méthode a été proposée et testée pour extraire la végétation. Le troisième algorithme pansharpening est inclus dans la catégorie multi-résolution basée sur la transformée NSCT. L'amélioration des résultats est assurée par l’utilisation d'un nombre de niveaux de décomposition réduit pour les images multi-spectrales et un nombre plus élevé de niveaux de décomposition pour l'image panchromatique . Cette stratégie permet d’aboutir à des résultats visuels et quantitatifs satisfaisants. En outre, la contribution de la thèse considère aussi l'évaluation de la qualité des images fusionnées. En fait, un nouveau protocole pour l'évaluation de la qualité est proposé. En fonction de l'application à utiliser, il peut être réglé pour favoriser la qualité spectrale ou spatiale.
Book Synopsis Apport de la fusion d'images satellitaires multicapteurs au niveau pixel en teledetection et photo-interpretation by : Marc Mangolini
Download or read book Apport de la fusion d'images satellitaires multicapteurs au niveau pixel en teledetection et photo-interpretation written by Marc Mangolini and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Fusion in Remote Sensing by : Arian Azarang
Download or read book Image Fusion in Remote Sensing written by Arian Azarang and published by Springer Nature. This book was released on 2022-05-31 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.
Book Synopsis Multi-resolution Image Fusion in Remote Sensing by : Manjunath V. Joshi
Download or read book Multi-resolution Image Fusion in Remote Sensing written by Manjunath V. Joshi and published by Cambridge University Press. This book was released on 2019-01-24 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.
Book Synopsis Multispectral Satellite Image Understanding by : Cem Ünsalan
Download or read book Multispectral Satellite Image Understanding written by Cem Ünsalan and published by Springer Science & Business Media. This book was released on 2011-05-18 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.
Book Synopsis Fusion Multiniveau Pour la Classification D'images de Télédétection À Très Haute Résolution Spatiale by : Ahsan Ursani
Download or read book Fusion Multiniveau Pour la Classification D'images de Télédétection À Très Haute Résolution Spatiale written by Ahsan Ursani and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hyperspectral Image Fusion by : Subhasis Chaudhuri
Download or read book Hyperspectral Image Fusion written by Subhasis Chaudhuri and published by Springer Science & Business Media. This book was released on 2013-05-25 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.
Book Synopsis Mathematical Models for Remote Sensing Image Processing by : Gabriele Moser
Download or read book Mathematical Models for Remote Sensing Image Processing written by Gabriele Moser and published by Springer. This book was released on 2017-11-28 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.
Book Synopsis Fusion of heterogeneous remote sensing images by credibilist methods by : Imen HAMMAMI
Download or read book Fusion of heterogeneous remote sensing images by credibilist methods written by Imen HAMMAMI and published by Infinite Study. This book was released on with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis falls within the framework of a cotutelle agreement between the LabS-TICC laboratory of IMT Atlantique, Brest, France and the LIPAH laboratory of the Faculty of Sciences of Tunis, Tunisia. It would not have been possible without persistent help of a large number of peoples to whom I would like to convey my heartfelt gratitude.
Book Synopsis Fusion D'images Multispectrale, Hyperspectrale Et Panchromatique de Résolutions Spatiales Différentes Et Évaluation de la Qualité en Télédétection Satellitaire by : Muhammad Murtaza Khan
Download or read book Fusion D'images Multispectrale, Hyperspectrale Et Panchromatique de Résolutions Spatiales Différentes Et Évaluation de la Qualité en Télédétection Satellitaire written by Muhammad Murtaza Khan and published by . This book was released on 2009 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fusion or Pansharpening improves the spatial quality of Multispectral satellite images by making use of details present in a high resolution Panchromatic image. The different nature of Panchromatic and Multispectral sensors requires that the details are added using a detail injection model. Most of the available detail injection model parameters are estimated at degraded resolution and then interpolated for use at the higher resolution. In this work we have presented a detail injection model which estimates the detail injection parameters directly at the desired higher resolution. The model optimizes the" Quality Not Requiring a Reference index". The proposed method is then extended for pansharpening of Hyperspectral images. Finally, a quality assessment index, not requiring a high resolution reference, is proposed for determining the quality of pansharpened images at full resolution. The novelty of the method lies in the use of sensors" Modulation Transfer Function" filters for separating the low and high frequency information for determining the spectral and spatial distortions, respectively.
Book Synopsis Méthodes de démélange et de fusion des images multispectrales et hyperspectrales de télédétection spatiale by : Fatima Zohra Benhalouche
Download or read book Méthodes de démélange et de fusion des images multispectrales et hyperspectrales de télédétection spatiale written by Fatima Zohra Benhalouche and published by . This book was released on 2018 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Au cours de cette thèse, nous nous sommes intéressés à deux principales problématiques de la télédétection spatiale de milieux urbains qui sont : le "démélange spectral " et la "fusion". Dans la première partie de la thèse, nous avons étudié le démélange spectral d'images hyperspectrales de scènes de milieux urbains. Les méthodes développées ont pour objectif d'extraire, d'une manière non-supervisée, les spectres des matériaux présents dans la scène imagée. Le plus souvent, les méthodes de démélange spectral (méthodes dites de séparation aveugle de sources) sont basées sur le modèle de mélange linéaire. Cependant, lorsque nous sommes en présence de paysage non-plat, comme c'est le cas en milieu urbain, le modèle de mélange linéaire n'est plus valide et doit être remplacé par un modèle de mélange non-linéaire. Ce modèle non-linéaire peut être réduit à un modèle de mélange linéaire-quadratique/bilinéaire. Les méthodes de démélange spectral proposées sont basées sur la factorisation matricielle avec contrainte de non-négativité, et elles sont conçues pour le cas particulier de scènes urbaines. Les méthodes proposées donnent généralement de meilleures performances que les méthodes testées de la littérature. La seconde partie de cette thèse à été consacrée à la mise en place de méthodes qui permettent la fusion des images multispectrale et hyperspectrale, afin d'améliorer la résolution spatiale de l'image hyperspectrale. Cette fusion consiste à combiner la résolution spatiale élevée des images multispectrales et la haute résolution spectrale des images hyperspectrales. Les méthodes mises en place sont des méthodes conçues pour le cas particulier de fusion de données de télédétection de milieux urbains. Ces méthodes sont basées sur des techniques de démélange spectral linéaire-quadratique et utilisent la factorisation en matrices non-négatives. Les résultats obtenus montrent que les méthodes développées donnent globalement des performances satisfaisantes pour la fusion des données hyperspectrale et multispectrale. Ils prouvent également que ces méthodes surpassent significativement les approches testées de la littérature.
Book Synopsis Remote Sensing by : Robert A. Schowengerdt
Download or read book Remote Sensing written by Robert A. Schowengerdt and published by Elsevier. This book was released on 2006-08-28 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth’s surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. Remote Sensing, in its third edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever. Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data
Book Synopsis Fusion d'images by : Azeddine Elhassouny
Download or read book Fusion d'images written by Azeddine Elhassouny and published by Infinite Study. This book was released on 2015-05-26 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Au cours de la dernière décennie, l'observation de la Terre depuis l'espace s'est amplement développée, comme l'a rme la grande quantité de satellites imageurs mis sur orbite. De plus, les satellites imageurs peuvent couvrir de larges zones de façon régulière, ce qui garantit la disponibilité de données pour la cartographie.
Download or read book Image Fusion written by Tania Stathaki and published by Elsevier. This book was released on 2011-08-29 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical and modern algorithms and design architectures, demonstrating through applications how these can be implemented. Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation. This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date and complete information on image fusion algorithms, design architectures and applications. Combines theory and practice to create a unique point of reference Contains contributions from leading experts in this rapidly-developing field Demonstrates potential uses in military, medical and civilian areas
Book Synopsis ETUDE DE MODELES DE COMPRESSION ET DE FUSION DE DONNEES SATELLITAIRES POUR IMAGES DE TELEDETECTION MULTISOURCE DANS LE CADRE D'UNE UTILISATION OPERATIONNELLE EN TEMPS REEL POUR DES STATIONS ELOIGNEES by : GREGOIRE.. MERCIER
Download or read book ETUDE DE MODELES DE COMPRESSION ET DE FUSION DE DONNEES SATELLITAIRES POUR IMAGES DE TELEDETECTION MULTISOURCE DANS LE CADRE D'UNE UTILISATION OPERATIONNELLE EN TEMPS REEL POUR DES STATIONS ELOIGNEES written by GREGOIRE.. MERCIER and published by . This book was released on 1999 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: CE MEMOIRE DE THESE EST CONSACRE A LA COMPRESSION DES IMAGES DE TELEDETECTION (RADAR A OUVERTURE SYNTHETIQUE -SAR-, MULTISPECTRALES ET HYPERSPECTRALES). LA COMPRESSION A POUR BUT DE POUVOIR ACHEMINER, A FAIBLE COUT, DES IMAGES DE GRANDE TAILLE DANS LE CADRE D'UNE UTILISATION OPERATIONNELLE : ROUTAGE D'UN NAVIRE BRISE-GLACE GRACE A LA TRANSMISSION D'IMAGES DE GLACE DE MER, ANALYSE GEOMORPHOLOGIQUE A PARTIR D'IMAGES DE FORET TROPICALE TRANSMISES SUR SITE A DES GEOLOGUES. LA COMPRESSION DE TELLES IMAGES A D'ABORD ETE CONSIDEREE AVEC PEU DE CONNAISSANCE A PRIORI. PLUSIEURS TECHNIQUES ONT ALORS ETE PROPOSEES REPONDANT A DES CRITERES DE COMPRESSION BIEN DEFINIS : MODELISATION AUTO-REGRESSIVE DE COEFFICIENTS D'ONDELETTES POUR DES IMAGES SAR TEXTUREES (FORET GUYANAISE), QUANTIFICATION VECTORIELLE BASEE SUR L'ARBORESCENCE DE COEFFICIENTS SIGNIFICATIFS DE LA TRANSFORMEE EN ONDELETTES POUR DES IMAGES NON-HOMOGENES (FORET GUYANAISE AVEC BORD DE MER, GLACE DE MER, CHAMPS BOCAGERS), QUANTIFICATION VECTORIELLE SPECTRALE ESSENTIELLEMENT DEDIEE AUX IMAGES HYPERSPECTRALES. EN FAIT, LA COMPRESSION DES IMAGES DE TELEDETECTION PEUT ETRE ENTREPRISE A TRAVERS UNE APPROCHE MULTITEMPORELLE OU MULTICAPTEUR. UNE TECHNIQUE PROCHE DU FORMALISME FRACTAL A AINSI ETE DEVELOPPEE POUR COMPRIMER, GRACE A DE MULTIPLES OPTIONS DIFFERENTES, DES IMAGES RADAR (RECALEES OU NON), AINSI QUE DES IMAGES MULTISPECTRALES. CETTE APPROCHE EST PARTICULIEREMENT INTERESSANTE EN TELEDETETION PUISQU'ELLE PERMET, OUTRE L'OBTENTION DE TAUX DE COMPRESSION TRES INTERESSANTS, DE DEFINIR DE NOUVELLES STRATEGIES DE SEGMENTATIONS ET DE CLASSIFICATIONS PAR SIMPLE RELECTURE DU CODE COMPRIME. L'EVALUATION DE LA PERFORMANCE DES ALGORITHMES PROPOSES, NON PAS A L'AIDE DU COMPROMIS DEBIT-DISTORSION, MAIS A L'AIDE D'UNE SERIE DE CLASSIFICATIONS ET DE SEGMENTATIONS, PERMET DE CONCLURE A LA PERTINENCE DES TRAVAUX EFFECTUES ET INVITE A POURSUIVRE SUR LA VOIE OUVERTE PAR CERTAINES METHODES PROPOSEES, TELLES LA QUANTIFICATION ARBORESCENTE AVEC RAFFINEMENT, LA QUANTIFICATION SPECTRALE ET L'APPROCHE MULTITEMPORELLE.
Book Synopsis High Resolution Optical Satellite Imagery by : Ian J. Dowman
Download or read book High Resolution Optical Satellite Imagery written by Ian J. Dowman and published by Whittles. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors, concentrating on sensors designed for mapping. It considers in detail the SPOT series of satellites and sensors with a ground sample distance (GSD) of less than 15m, operational since SPOT 1 and particularly the commercial sensors launched since 1999 with GSD of less than 1m. The book explains the way in which high resolution imagery is obtained and the issues which surround its collection and use. It deals progressively with the fundamentals of mapping from imagery, followed by the key features in the design of sensors and methods of data storage and transmission, including data compression. Subsequent chapters cover the sensors, calibration, sensor models and the methods of determining the orientation elements and extracting coordinates from the images. Rigorous orientation, use of rational polynomial coefficients (RPCs) and approximate methods are covered. Results from tests showing the accuracy which can be obtained, generation of digital elevations models, their accuracy and the production of orthoimages are included, as are image processing and data fusion. Finally, future missions and the issues which face further development are discussed. High Resolution Optical Satellite Imagery is written by a team of acknowledged international experts and is the only comprehensive text on the subject.
Download or read book Data Fusion written by Lucien Wald and published by Presses des MINES. This book was released on 2002 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes the fundamentals (particularly definitions and architectures) in data fusion. The second part of the book is devoted to methods for the fusion of images. It offers an in-depth presentation of standard and advanced methods for the fusion of multi-modality images.
