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Hyperspectral Image Processing
Buch von Chunhui Zhao (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Zusammenfassung

Systematically provides a complete framework of the novel processing techniques of hyperspectral imaging

Introduces from the basic theory to the state of the art techniques and their applications to meet the needs of readers at different levels

Aims at the two hot topics in HSI processing, i.e. high accuracy and real time

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2015
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xvii
315 S.
106 s/w Illustr.
15 farbige Illustr.
315 p. 121 illus.
15 illus. in color.
ISBN-13: 9783662474556
ISBN-10: 3662474557
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Zhao, Chunhui
Wang, Liguo
Auflage: 1st ed. 2016
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Maße: 241 x 160 x 23 mm
Von/Mit: Chunhui Zhao (u. a.)
Erscheinungsdatum: 30.07.2015
Gewicht: 0,731 kg
Artikel-ID: 104699128
Zusammenfassung

Systematically provides a complete framework of the novel processing techniques of hyperspectral imaging

Introduces from the basic theory to the state of the art techniques and their applications to meet the needs of readers at different levels

Aims at the two hot topics in HSI processing, i.e. high accuracy and real time

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2015
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xvii
315 S.
106 s/w Illustr.
15 farbige Illustr.
315 p. 121 illus.
15 illus. in color.
ISBN-13: 9783662474556
ISBN-10: 3662474557
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Zhao, Chunhui
Wang, Liguo
Auflage: 1st ed. 2016
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Maße: 241 x 160 x 23 mm
Von/Mit: Chunhui Zhao (u. a.)
Erscheinungsdatum: 30.07.2015
Gewicht: 0,731 kg
Artikel-ID: 104699128
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