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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778250
