摘要
随着成像光谱仪的普及应用,遥感图像的空间分辨率、谱间分辨率、时间分辨率越来越高,使得成像光谱数据量迅速增长,对海量数据进行有效的压缩成了遥感技术发展中迫切需要解决的一个问题。由于有损压缩可能会丢掉对进一步处理非常有用的信息,通常采用无损压缩方法。本文首先介绍了高光谱图像的特点和无损压缩的基本原理,然后综述了高光谱图像无损压缩的研究进展,最后展望了研究前景。
With the development of imaging spectrometer, the increasing spatial, spectral, radiometric, as well as temporal resolutions make huge amounts of data available. Consequently, the request for the efficient compression becomes pressing. As the original quality of the hyperspectral image is often thoroughly preserved,the lossless compression is mandatory.At the first,the characteristic of hyperspectral image and principal of lossless compression are introduced.Then lossless compression of hyperspectral image is surveyed. Finally, the future development is given.
出处
《测控技术》
CSCD
2004年第5期23-27,共5页
Measurement & Control Technology
基金
北京市教委/北京市基金委资助项目(KZ200310005004)
关键词
遥感图像
无损压缩
矢量量化
变换
预测
波段排序
remote sensing image
lossless compression
vector quantization
transform
prediction
band ordering
