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Remote Sensing Image Fusion

Author: Christine Pohl
Publisher: CRC Press
ISBN: 1315353067
Size: 41.80 MB
Format: PDF, Mobi
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Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world.?The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Kernel Methods For Remote Sensing Data Analysis

Author: Gustau Camps-Valls
Publisher: John Wiley & Sons
ISBN: 0470749008
Size: 56.25 MB
Format: PDF, Mobi
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Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.

Advances In Passive Microwave Remote Sensing Of Oceans

Author: Victor Raizer
Publisher: CRC Press
ISBN: 149876777X
Size: 70.18 MB
Format: PDF
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This book demonstrates the capabilities of passive microwave technique for enhanced observations of ocean features, including the detection of (sub)surface events and/or disturbances while laying out the benefits and boundaries of these methods. It represents not only an introduction and complete description of the main principles of ocean microwave radiometry and imagery, but also provides guidance for further experimental studies. Furthermore, it expands the analysis of remote sensing methods, models, and techniques and focuses on a high-resolution multiband imaging observation concept. Such an advanced approach provides readers with a new level of geophysical information and data acquisition granting the opportunity to improve their expertise on advanced microwave technology, becoming now an indispensable tool for diagnostics of ocean phenomena and disturbances.

Innovation In Near Surface Geophysics

Author: Raffaele Persico
Publisher: Elsevier
ISBN: 012812430X
Size: 31.41 MB
Format: PDF
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Innovation in Near-Surface Geophysics: Instrumentation, Application, and Data Processing Methods offers an advanced look at state-of-the-art and innovative technologies for near surface geophysics, exposing the latest, most effective techniques in an accessible way. By addressing a variety of geophysical applications, including cultural heritage, civil engineering, characteristics of soil, and others, the book provides an understanding of the best products and methodologies modern near surface geophysics has to offer. It proposes tips for new ideas and projects, and encourages collaboration across disciplines and techniques for the best implementation and results. Clearly organized, with contributions from leaders from throughout geophysics, Innovation in Near-Surface Geophysics is an important guide for geophysicists who hope to gain a better understanding of the tools and techniques available. Addresses a variety of applications in near-surface geophysics, including cultural heritage, civil engineering, soil analysis, etc. Provides insight to available products and techniques and offers suggestions for future developments Clearly organized by techniques and their applications

Image Fusion

Author: Tania Stathaki
Publisher: Elsevier
ISBN: 9780080558523
Size: 52.31 MB
Format: PDF, ePub
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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

Agentensysteme In Der Automatisierungstechnik

Author: Peter Göhner
Publisher: Springer-Verlag
ISBN: 3642317685
Size: 67.89 MB
Format: PDF, Docs
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Bei modernen automatisierten Systemen gewinnen Anforderungen an die Flexibilität (z. B. Anpassungsfähigkeit, Skalierbarkeit und Integrationsfähigkeit) zunehmend an Bedeutung. Vielfach ist jedoch noch unklar, wie die gewünschte Flexibilität bei der Entwicklung eines automatisierten Systems erzielt und die dadurch entstehenden komplexen Abläufe und Verhaltensweisen beherrscht werden können. Mit Hilfe von Softwareagenten wird es möglich, die notwendige Flexibilität von automatisierten Systemen systematisch zu entwerfen. Im GMA-Fachausschuss 5.15 „Agentensysteme“ erarbeiten Fachleute aus Wissenschaft und Industrie Richtlinien zur Entwicklung und Anwendung von Agentensystemen in der Automatisierungstechnik. Im Rahmen dieser Arbeiten sind viele Beiträge zum Stand der Technik bzw. Stand der Wissenschaft von Agentensystemen in der Automatisierungstechnik entstanden, die in diesem Werk zusammengestellt wurden.

Digitale Bildverarbeitung

Author: Bernd Jähne
Publisher: Springer-Verlag
ISBN: 3642049524
Size: 16.83 MB
Format: PDF, Docs
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Selbst komplexe Aufgaben der Bildverarbeitung sind heute auf gängigen PCs lösbar. Das Know-how dafür vermittelt dieses Standardwerk – von den Grundlagen der digitalen Bildverarbeitung bis hin zu modernen Konzepten. Es gliedert sich in die drei Teile Bildgewinnung, Bildverarbeitung und Bildanalyse. Die Übungsaufgaben sind größtenteils interaktiv und können mit der auf CD-ROM beiliegenden Demosoftware bearbeitet werden. Die 7. Auflage ist an die Erfordernisse der Master-Studiengänge angepasst worden und enthält ein neues Kapitel über Bildsensoren.