Development and investigation of a hierarchical compression algorithm for storing hyperspectral images
- 作者: Gashnikov M.1, Glumov N.1
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隶属关系:
- Samara National Research University
- 期: 卷 25, 编号 3 (2016)
- 页面: 168-179
- 栏目: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194890
- DOI: https://doi.org/10.3103/S1060992X16030024
- ID: 194890
如何引用文章
详细
The characteristics of SpecTIR and AVIRIS 16-bit hyperspectral images are analyzed. The requirements for compression of such images are formulated. The aspects of using the hierarchical compression algorithm in hyperspectral images storage are studied. Spectral component approximation algorithms are considered that allow both an increased compression ratio and retrieval of particular components. Interpolation algorithms are considered and a rank interpolator is offered for hyperspectral images compression. Real 16-bit hyperspectral images are used in computational experiments to investigate the efficiency of the proposed algorithms. The best parameters of these algorithms are found experimentally and general recommendations on how to tune the proposed hierarchical compression algorithm to suit hyperspectral images storage problems are given.
作者简介
M. Gashnikov
Samara National Research University
编辑信件的主要联系方式.
Email: mih-fastt@yandex.ru
俄罗斯联邦, Samara
N. Glumov
Samara National Research University
Email: mih-fastt@yandex.ru
俄罗斯联邦, Samara