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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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processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R;
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Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;
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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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Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle;
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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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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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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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Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;
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Introduction to Remote Sensing: Digital Image Processing and Applications presents a unique textbook/downloadable resources package. It;
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. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;
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. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;
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entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops;
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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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Introduction to Remote Sensing: Digital Image Processing and Applications presents a unique textbook/CD-ROM package. It explains;
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Advances in remote sensing technology and their ever increasing repositories of the collected data are revolutionizing the mechanisms these;
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sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use;
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sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use;
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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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Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and;
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Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and;
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With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques;
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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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Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;
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research and practice in the application of image registration to remote sensing imagery. Chapters cover the problem definition, theoretical issues;
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