東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Remote-sensing images." ]

切換: 標籤 | MARC模式 | ISBD

Hyperspectral image processing

Wang, Liguo.

FindBook

Google Book

Amazon

博客來

Hyperspectral image processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/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.
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.
Contained By:	Springer eBooks
標題:	Remote-sensing images. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-47456-3
ISBN:	9783662474563$q(electronic bk.)

Hyperspectral image processing
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$q(electronic bk.)

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

834624
Remote-sensing images.

LC Class. No.: G70.4

Dewey Class. No.: 621.3678

Hyperspectral image processing
LDR:02036nmm a2200337 a 4500 001 2028510
003 DE-He213
005 20160713115820.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783662474563$q(electronic bk.)
020 $a 9783662474556$q(paper)
024 7 $a 10.1007/978-3-662-47456-3 $2 doi
035 $a 978-3-662-47456-3
040 $a GP $c GP
041 0 $a eng
050 4 $a G70.4
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 621.3678 $2 23
090 $a G70.4 $b .W246 2016
100 1 $a Wang, Liguo. $3 2178955
245 1 0 $a Hyperspectral image processing $h [electronic resource] / $c by Liguo Wang, Chunhui Zhao.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2016.
300 $a xvii, 315 p. : $b ill., digital ; $c 24 cm.
505 0 $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.
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.
650 0 $a Remote-sensing images. $3 834624
650 0 $a Image processing $x Digital techniques. $3 532550
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Remote Sensing/Photogrammetry. $3 890882
700 1 $a Zhao, Chunhui. $3 2178956
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-47456-3
950 $a Engineering (Springer-11647)