大葉大學圖書館 |

Hyperspectral image processing[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	621.3678
書名/作者:	Hyperspectral image processing/ by Liguo Wang, Chunhui Zhao.
作者:	Wang, Liguo.
其他作者:	Zhao, Chunhui.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xvii, 315 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Remote-sensing images.
標題:	Image processing - Digital techniques.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Image Processing and Computer Vision.
標題:	Remote Sensing/Photogrammetry.
ISBN:	9783662474563
ISBN:	9783662474556
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47456-3

Hyperspectral image processing[electronic resource] /
Wang, Liguo.

Hyperspectral image processing[electronic resource] /by Liguo Wang, Chunhui Zhao. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xvii, 315 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783662474563

Standard No.: 10.1007/978-3-662-47456-3doiSubjects--Topical Terms:

467111
Remote-sensing images.

LC Class. No.: G70.4

Dewey Class. No.: 621.3678

Hyperspectral image processing[electronic resource] /
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520 $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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