Remote Sensing Image Fusion
A synthesis of more than ten years of experience, this book covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral imag...
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| Main Authors | , , , |
|---|---|
| Format | eBook Book |
| Language | English |
| Published |
Boca Raton
CRC Press
2015
CRC Press, Taylor & Francis Group Taylor & Francis Group |
| Edition | 1 |
| Series | Signal and Image Processing of Earth Observations |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9781466587496 1466587490 |
| DOI | 10.1201/b18189 |
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| Abstract | A synthesis of more than ten years of experience, this book covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations. |
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| AbstractList | A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and A synthesis of more than ten years of experience, this book covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations. A synthesis of more than ten years of experience, Remote Sensing Image Fusioncovers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations. The book brings a new perspective to a multidisciplinary research field that is becoming increasingly articulate and comprehensive. It fosters signal/image processing methodologies toward the goal of information extraction, either by humans or by machines, from remotely sensed images. The authors explain how relatively simple processing methods tailored to the specific features of the images may be winning in terms of reliable performance over more complex algorithms based on mathematical theories and models unconstrained from the physical behaviors of the instruments. Ultimately, the book covers the births and developments of three generations of RS image fusion. Established textbooks are mainly concerned with the earliest generation of methods. This book focuses on second generation methods you can use now and new trends that may become third generation methods. Only the lessons learned with second generation methods will be capable of fostering the excellence among the myriad of methods that are proposed almost every day by the scientific literature. A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations.The book brings a new perspective to a multidisciplinary research field that is becoming increasingly articulate and comprehensive. It fosters signal/image processing methodologies toward the goal of information extraction, either by humans or by machines, from remotely sensed images. The authors explain how relatively simple processing methods tailored to the specific features of the images may be winning in terms of reliable performance over more complex algorithms based on mathematical theories and models unconstrained from the physical behaviors of the instruments.Ultimately, the book covers the births and developments of three generations of RS image fusion. Established textbooks are mainly concerned with the earliest generation of methods. This book focuses on second generation methods you can use now and new trends that may become third generation methods. Only the lessons learned with second generation methods will be capable of fostering the excellence among the myriad of methods that are proposed almost every day by the scientific literature. |
| Author | Alparone, Luciano Baronti, Stefano Aiazzi, Bruno Garzelli, Andrea |
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| Keywords | TIR Band Original MS Image Wald's Protocol Remote Sensing Image Fusion GLP MS Band Lowpass Lter Optical Image SAR Data Generalize IHS Polynomial Kernels Pansharpened MS SWIR Band Original MS SAR Image Multispectral Images Original MS Data MS Image Panchromatic Image MS Dataset Image Fusion Fuse MS Image Pansharpening Methods High Resolution Pan Image MS Pixel |
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| Notes | Other authors: Bruno Aiazzi, Stefano Baronti, Andrea Garzelli Bibliography: p. 275-299 Includes index |
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| Snippet | A synthesis of more than ten years of experience, this book covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive... A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors... A synthesis of more than ten years of experience, Remote Sensing Image Fusioncovers methods specifically designed for remote sensing imagery. The authors... |
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| SubjectTerms | Earth sciences Earth sciences -- Remote sensing Image processing Image processing -- Digital techniques Remote sensing |
| TableOfContents | Cover -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Symbol Description -- List of Acronyms -- Chapter 1: Instructions for Use -- Chapter 2: Sensors and Image Data Products -- Chapter 3: Quality Assessment of Fusion -- Chapter 4: Image Registration and Interpolation -- Chapter 5: Multiresolution Analysis for Image Fusion -- Chapter 6: Spectral Transforms for Multiband Image Fusion -- Chapter 7: Pansharpening of Multispectral Images -- Chapter 8: Pansharpening of Hyperspectral Images -- Chapter 9: Effects of Aliasing and Misalignments on Pansharpening -- Chapter 10: Fusion of Images from Heterogeneous Sensors -- Chapter 11: New Trends of Remote Sensing Image Fusion -- Chapter 12: Conclusions and Perspectives -- Bibliography |
| Title | Remote Sensing Image Fusion |
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