DocumentCode
170482
Title
Summarization of hyperspectral image visualization methods
Author
Hongwen Lin ; Anqing Zhang
Author_Institution
Dept. of Inf. Oper., Dalian Naval Acad., Dalian, China
fYear
2014
fDate
16-18 May 2014
Firstpage
355
Lastpage
358
Abstract
Hyperspectral image visualization is an important research field in hyperspectral image processing. This paper summarized the general goals for hyperspectral image visiualization, and put various visiualization methods into four categories, which include method based on band selection, method based on weighting, method based on transformation and method based on optimization. We also analyzed the merits and defects of these methods.
Keywords
data visualisation; image processing; optimisation; band selection; hyperspectral image processing; hyperspectral image visualization; optimization method; summarization; transformation method; weighting method; Filtering; Hyperspectral imaging; Image color analysis; Optimization; Principal component analysis; color representation; hyperspectral image; summarization; visiualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-2033-4
Type
conf
DOI
10.1109/PIC.2014.6972357
Filename
6972357
Link To Document