@inproceedings{6b77fbeff11244c2821b874501a5a69b,
title = "Parameter optimization for hyperspectral image compression algorithm of maximum error controllable",
abstract = "In order to improve the efficiency of algorithm, parameter optimization for hyperspectral image compression algorithm of maximum error controllable has been studied in this paper. Firstly, a mathematic optimal model for the hyperspectral image compression ratio was established. Secondly, we analyzed the model and simplified it by Gaussian function. Finally, some real hyperspectral images' compression ratios were estimated using the model. Experiments show the relative error between the estimations and the simulation results is less than 5%, and 31.25% of the both results are exactly the same. In addition, the optimal model saves 70% of running time. These illustrate the high effectiveness and practicability of the optimal model.",
keywords = "Compression, Gaussian function, Hyperspectral Image, Parameter Optimization",
author = "Qiufu Li and Derong Chen and Jiulu Gong",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 4th IEEE International Conference on Information Science and Technology, ICIST 2014 ; Conference date: 26-04-2014 Through 28-04-2014",
year = "2014",
month = oct,
day = "10",
doi = "10.1109/ICIST.2014.6920391",
language = "English",
series = "ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "312--315",
editor = "Guoqing Xu and Yu Qiao and Xinyu Wu",
booktitle = "ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology",
address = "United States",
}