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Editorial Reviews
Product Description
This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.
Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery.
The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
Book Info
Completely updated with recent results and data. Discusses a framework for designing and evaluating image processing technology. DLC: Image processing.
See all Editorial Reviews
This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.
Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery.
The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
Book Info
Completely updated with recent results and data. Discusses a framework for designing and evaluating image processing technology. DLC: Image processing.
See all Editorial Reviews
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Inside This Book Citations: This book cites 44 books | 73 books that cite this book Explore: Citations | Books on Related Topics | Concordance | Text Stats Key Phrases - SIPs: total image variance, normalization stretch, weighted spectral distribution, striping noise, fractal dimension map (more) Key Phrases - CAPs: Scale-Space Transforms, Geological Survey, Shortwave Infrared Region, Subpixel Classification, Multi-image Fusion (more) Browse Sample Pages: Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover | Surprise Me! |
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Inside This Book
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First Sentence:
Compared to 1972, when the first Landsat system was launched, remote-sensing systems now exhibit an extraordinary diversity. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
total image variance, normalization stretch, weighted spectral distribution, striping noise, fractal dimension map, whiskbroom scanners, vegetated scene, decorrelation stretch, banding noise, imaging spectrometer data,
Compared to 1972, when the first Landsat system was launched, remote-sensing systems now exhibit an extraordinary diversity. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
total image variance, normalization stretch, weighted spectral distribution, striping noise, fractal dimension map, whiskbroom scanners, vegetated scene, decorrelation stretch, banding noise, imaging spectrometer data,