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Hyperspectral Image Processing / by Liguo Wang, Chunhui Zhao

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Berlin, Heidelberg : Springer, 2016Description: Online-Ressource (XVII, 315 p. 121 illus., 15 illus. in color, online resource)ISBN:
  • 9783662474563
Subject(s): Additional physical formats: 9783662474556 | Erscheint auch als: Hyperspectral image processing. Druck-Ausgabe Heidelberg : Springer, 2015. xvii, 315 SeitenDDC classification:
  • 621.382
RVK: RVK: ST 330LOC classification:
  • TK5102.9 TA1637-1638 TK7882.S65
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
DOI: DOI: 10.1007/978-3-662-47456-3Online resources: Summary: 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 resourcePPN: PPN: 1657496635Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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