Remote Sensing Image Fusion

A Practical Guide

Author: Christine Pohl,John van Genderen

Publisher: CRC Press

ISBN: 1315353067

Category: Technology & Engineering

Page: 266

View: 1326

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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.
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Multi-resolution Image Fusion in Remote Sensing

Author: Manjunath V. Joshi,Kishor P. Upla

Publisher: Cambridge University Press

ISBN: 1108683045

Category: Computers

Page: N.A

View: 9533

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Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.
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Encyclopedia of Image Processing

Author: Phillip A. Laplante

Publisher: CRC Press

ISBN: 1351032739

Category: Technology & Engineering

Page: 856

View: 861

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The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.
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Advances in Passive Microwave Remote Sensing of Oceans

Author: Victor Raizer

Publisher: CRC Press

ISBN: 149876777X

Category: Technology & Engineering

Page: 262

View: 7152

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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, now an indispensable tool for diagnostics of ocean phenomena and disturbances.
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Kernel Methods for Remote Sensing Data Analysis

Author: Gustau Camps-Valls,Lorenzo Bruzzone

Publisher: John Wiley & Sons

ISBN: 0470749008

Category: Technology & Engineering

Page: 434

View: 3128

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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.
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Image Processing and Data Analysis with ERDAS IMAGINE®

Author: Stacy A.C. Nelson,Siamak Khorram

Publisher: CRC Press

ISBN: 1351980580

Category: Technology & Engineering

Page: 330

View: 5962

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Globally, a wide variety of organizations rely on ERDAS IMAGINE® daily, including local, state and national mapping agencies, transportation departments, defense organizations, engineering and utility companies and many more. ERDAS IMAGINE® is a powerful software package used to collect, process, analyze and understand raw geospatial data, it has become the industry standard in digital image processing. This book provides the first comprehensive guide to develop a proficiency in digital image processing of remotely sensed data from a research/real-world application perspective, along with robust hands-on, start-to-finish examples that represent the most commonly/traditionally used methods.
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Image Fusion

Algorithms and Applications

Author: Tania Stathaki

Publisher: Academic Press

ISBN: N.A

Category: Computers

Page: 500

View: 2324

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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
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PET-CT in Radiotherapy Treatment Planning E-Book

Author: Arnold C. Paulino

Publisher: Elsevier Health Sciences

ISBN: 1437721397

Category: Medical

Page: 272

View: 5174

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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.
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