Title :
The FPSO for selecting number of components in Tucker3 decomposition for Hyperspectral image compression
Author :
Hao Chen ; Jiabin Wang ; Shuang Zhou ; Ye Zhang
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Hyperspectral images (HSI) contain hundreds of bands, which brings huge amount of data. In this paper, we propose a novel compression method for HSI with Tucker3 decomposition. The hyperspectral images are firstly decomposed into core tensor, and then the number of components is selected according to the Fast particle swarm optimization (FPSO). Compared to the traditional methods, the new method has excellent reconstruction quality and less computing time.
Keywords :
data compression; hyperspectral imaging; image coding; image reconstruction; particle swarm optimisation; tensors; FPSO; HSI compression method; Tucker3 decomposition; core tensor; fast particle swarm optimization; hyperspectral image compression; reconstruction quality; Data compression; Discrete wavelet transforms; Educational institutions; Image coding; Moon; Signal to noise ratio; Tensile stress; Hyperspectral compression; Tensor;
Conference_Titel :
Data Compression Conference (DCC), 2014
Conference_Location :
Snowbird, UT
DOI :
10.1109/DCC.2014.32
