An Efficient Multispectral Images Compression Technique

被引：0
作者：
Hagag, A. [1 ]
Amin, M. [1 ]
El-Samie, F. E. Abd [2 ]
机构：
[1] Menoufia Univ, Dept Math, Fac Sci, Shibin Al Kawm 32511, Egypt
[2] Menoufia Univ, Dept Elect & Elect Communicat, Fac Elect Engn, Menoufia 32952, Egypt
来源：
2013 30TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC2013) | 2013年
关键词：
Multispectral compression; DWT; DDWT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new compression technique aiming at reducing the size of storage of satellite images is presented. We considered one type of multispectral images; Landsat ETM+. It is common to include data compression as a part of the distribution system for satellite imagery. A dual-tree discrete wavelet transform (DDWT) in the spectral domain, a two-dimensional (2-D) discrete wavelet transform (DWT) in the spatial domain, and a simple Huffman coder are used in the proposed technique. The mean square error (MSE), peak signal-to-noise ratio (PSNR), average difference (AD), spectral angle mapper (SAM) and spectral information divergence (SID) are used in the proposed technique.
引用
收藏
页码：288 / 297
页数：10
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