Remote Sensing Image Fusion

Author: Christine Pohl
Editor: CRC Press
ISBN: 1315353067
Size: 12,11 MB
Format: PDF, ePub, 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.

Advances In Passive Microwave Remote Sensing Of Oceans

Author: Victor Raizer
Editor: CRC Press
ISBN: 149876777X
Size: 17,15 MB
Format: PDF, ePub, Mobi
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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
Editor: Elsevier
ISBN: 012812430X
Size: 12,24 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

Kernel Methods For Remote Sensing Data Analysis

Author: Gustau Camps-Valls
Editor: John Wiley & Sons
ISBN: 0470749008
Size: 18,87 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.

Multi Sensor Image Fusion And Its Applications

Author: Rick S. Blum
Editor: CRC Press
ISBN: 9781420026986
Size: 18,13 MB
Format: PDF, ePub
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Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Image Fusion

Author: Tania Stathaki
Editor: Academic Press
ISBN:
Size: 15,78 MB
Format: PDF, ePub, Docs
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The application of sensor technology has brought considerable interest in the area of image fusion. Written by leading experts in the field, this book brings together in one volume the most recent algorithms, design techniques and applications in the topical field of image fusion. The applications are drawn from military, medical and civilian areas and give practical advice and pointers to the development of future applications in a variety of fields. 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. *Brings together the latest algorithms, design techniques and applications in the ‘hot’ area of Image Fusion *A large number of applications from military, medical and civilian fields give practical advice on how to develop future applications. * Combines theory and practice to create a unique point of reference

Opto Mechatronic Systems Handbook

Author: Hyungsuck Cho
Editor: CRC Press
ISBN: 1420040693
Size: 11,28 MB
Format: PDF, ePub, Docs
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Opto-mechatronics-the fusion of optical and mechatronic technologies-has been integral in the evolution of machines, systems, and products that are smaller and more precise, more intelligent, and more autonomous. For the technology to reach its full potential, however, engineers and researchers from many disciplines must learn to work together through every phase of system development. To date, little effort has been expended, either in practice or in the literature, to eliminate the boundaries that exist between the optics and mechatronics communities. The Opto-Mechatronics Systems Handbook is the first step in that direction. Richly illustrated and featuring contributions from an international panel of experts, it meets three essential objectives: Ö Present the definitions, fundamentals, and applications of the technology Ö Provide a multidisciplinary perspective that shows how optical systems and devices can be integrated with mechatronic systems at all stages, from conceptualization to design and manufacturing Ö Demonstrate the roles and synergistic effects of optical systems in overall system performance Along with his fresh approach and systems perspective, the editor has taken care to address real cutting-edge technologies, including precision opto-mechatronic systems, intelligent robots, and opto-microsensors. Ultimately, the Opto-Mechatronics Systems Handbook provides readers with the technological foundation for developing further innovative products and systems.

Pet Ct In Radiotherapy Treatment Planning E Book

Author: Arnold C. Paulino
Editor: Elsevier Health Sciences
ISBN: 1437721397
Size: 13,42 MB
Format: PDF, Mobi
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Here is an exciting new guide to the use of PET-CT imaging in radiotherapy. You’ll get practical, useful information for utilizing this novel imaging technique—from different methods for contouring biological target volumes in various anatomic regions to how different experts use this imaging in targeted treatment. This thorough text helps you make concise, accurate treatment choices based on current evidence and expert authority. The result is an essential tool for everyone on the radiotherapy treatment team in the era of image-guided radiotherapy. Helps familiarize you with the basics of PET imaging in nuclear medicine. Covers the use of PET-CT with radiotherapy treatment planning, offering practical guidance in how different experts use this relatively new technology. Highlights contrast using full-color images, clearly indicating target volumes and different radiation dosages. Outlines the advantages and disadvantages of different techniques in contouring PET-CT target volumes for radiotherapy. Features case illustrations in using PET-CT in radiotherapy treatment planning for different tumor sites.

Remote Sensing And Data Fusion Over Urban Areas

Author:
Editor: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Size: 12,94 MB
Format: PDF, ePub, Mobi
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This text covers topics including: new observation capabilities for urban areas; potential of multispectral/hyperspectral data for urban application; SAR data in urban areas; building extraction and characterization; data fusion over urban areas; and urban modelling and reconstruction.