DocumentCode
3292025
Title
PGK algorithm in hyperspectral image compression
Author
Su, Xu ; Xue, Tan ; Shanxue, Chen
Author_Institution
Comput. Sci. & Inf. Eng. Dept., Chongqing Technol. & Bus. Univ., Chongqing, China
fYear
2011
fDate
15-17 April 2011
Firstpage
6021
Lastpage
6023
Abstract
This paper presents compression algorithm of multispectral image. At first multispectral image is converted to N-dimensional space vector, and then using PGK clustering algorithm to cluster compression, Experiments show that this algorithm with the detection vegetation can achieve the purpose of high compression ratio, low algorithm complexity, restored image quality.
Keywords
data compression; geophysical image processing; image coding; object detection; pattern clustering; N-dimensional space vector; PGK clustering algorithm; cluster compression; detection vegetation; hyperspectral image compression; image quality; multispectral image; vegetation detection; Algorithm design and analysis; Clustering algorithms; Image coding; Indexes; Partitioning algorithms; Soil; Vegetation mapping; multispectral images; vector quantization; vegetation detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778250
Filename
5778250
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