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Book
Hyperspectral Image Processing
Authors: ---
ISBN: 3662474557 3662474565 Year: 2016 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Abstract

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

Keywords

Image processing -- Digital techniques. --- Multispectral imaging. --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Applied Physics --- Electrical Engineering --- Hyperspectral imaging. --- Image processing --- Digital techniques. --- Digital image processing --- Imaging, Multispectral --- MSI (Multispectral imaging) --- Multiband photography --- Multispectral photography --- Multispectral scanning --- Scanning, Multispectral --- Digital electronics --- Spectral imaging --- Computer vision. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Remote Sensing/Photogrammetry. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Remote sensing. --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment


Digital
Hyperspectral Image Processing
Authors: ---
ISBN: 9783662474563 Year: 2016 Publisher: Berlin, Heidelberg Springer

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Abstract

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

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