Title :
Summarization of hyperspectral image visualization methods
Author :
Hongwen Lin ; Anqing Zhang
Author_Institution :
Dept. of Inf. Oper., Dalian Naval Acad., Dalian, China
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;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
DOI :
10.1109/PIC.2014.6972357
