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02702nam a22005055i 4500 |
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|a 9783662474563
|9 978-3-662-47456-3
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|a 10.1007/978-3-662-47456-3
|2 doi
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|d GrThAP
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|a TK5102.9
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|a TA1637-1638
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|a 621.382
|2 23
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|a Wang, Liguo.
|e author.
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|a Hyperspectral Image Processing
|h [electronic resource] /
|c by Liguo Wang, Chunhui Zhao.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2016.
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|a XVII, 315 p. 121 illus., 15 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Basic theory and main processing techniques of hyperspectral remote sensing -- Classification technique for HSI -- Endmember extraction technique of HSI -- Spectral unmixing technique of HSI -- Sub-pixel mapping technique of HSI -- Super-resolution technique of HSI -- Anomaly detection technique of HSI -- Dimensionality reduction and compression technique of HSI -- Introduction to hyperspectral remote sensing applications.
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|a 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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|a Engineering.
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|a Image processing.
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|a Remote sensing.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a Image Processing and Computer Vision.
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|a Remote Sensing/Photogrammetry.
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|a Zhao, Chunhui.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662474556
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|u http://dx.doi.org/10.1007/978-3-662-47456-3
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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