Suppr超能文献

基于嵌入式零树小波算法的高光谱图像压缩技术研究

[Hyperspectral image compression technology research based on EZW].

作者信息

Wei Jun-Xia, Xiangli Bin, Duan Xiao-Feng, Xu Zhao-Hui, Xue Li-Jun

机构信息

Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Xi'an 710119, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Aug;31(8):2283-6.

Abstract

Along with the development of hyperspectral remote sensing technology, hyperspectral imaging technology has been applied in the aspect of aviation and spaceflight, which is different from multispectral imaging, and with the band width of nanoscale spectral imaging the target continuously, the image resolution is very high. However, with the increasing number of band, spectral data quantity will be more and more, and these data storage and transmission is the problem that the authors must face. Along with the development of wavelet compression technology, in field of image compression, many people adopted and improved EZW, the present paper used the method in hyperspectral spatial dimension compression, but does not involved the spectrum dimension compression. From hyperspectral image compression reconstruction results, whether from the peak signal-to-noise ratio (PSNR) and spectral curve or from the subjective comparison of source and reconstruction image, the effect is well. If the first compression of image from spectrum dimension is made, then compression on space dimension, the authors believe the effect will be better.

摘要

随着高光谱遥感技术的发展,高光谱成像技术已应用于航空航天领域,它不同于多光谱成像,能够以纳米级光谱带宽持续对目标成像,图像分辨率非常高。然而,随着波段数量的增加,光谱数据量会越来越大,这些数据的存储和传输是作者必须面对的问题。随着小波压缩技术的发展,在图像压缩领域,许多人采用并改进了嵌入式零树小波编码(EZW)算法,本文将该方法用于高光谱图像的空间维压缩,但未涉及光谱维压缩。从高光谱图像压缩重建结果来看,无论是从峰值信噪比(PSNR)和光谱曲线,还是从源图像与重建图像的主观比较来看,效果都很好。如果先对图像进行光谱维压缩,再进行空间维压缩,作者认为效果会更好。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验