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processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R;
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Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;
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Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;
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A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the;
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of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification;
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now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods;
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This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with;
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Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;
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Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and;
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introduction to the field of remote sensing and image interpretation. This book is discipline neutral, so readers in any field of study can gain a;
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sensing. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL combines theory, algorithms, and;
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Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this;
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Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based;
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Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based;
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The world of remote sensing and GIS is changing at a pace. This volume brings together developments in these complimentary fields, with a;
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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;
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classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.;
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Beginning with the history and basic concepts of remote sensing and GIS, the book gives an exhaustive coverage of optical, thermal, and;
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Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation;
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Provides up-to-date developments in the field of remote sensing by assessing scale issues in land surface, properties, patterns, and;
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Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle;
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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces;
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processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image;
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Essential Image Processing and GIS for Remote Sensing is an accessible overview of the subject and successfully draws together these three;
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Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly;
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applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation;
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For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image;
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