摘要
随着成像光谱技术的迅速发展,成像光谱图像呈现出空间分辨率和光谱分辨率不断提高的特点,其呈几何级数增长的数据量与遥感平台上传输和存储的有限资源产生了巨大矛盾,这使得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。首先介绍了成像光谱图像的特点及其压缩框架,然后综述了成像光谱图像压缩算法的研究进展,最后对研究前景进行了展望。
With the development of imaging spectroscopy, the increase of spatial and spectral resolution hyperspectral images makes huge amounts of data available, which results in heavy burden for data transmission and storage. Consequently, the request for the efficient compression becomes pressing. At first, the characteristic of hyperspectral image and principal of compression are introduced. Then the pre-processing and decorrelation algorithm of hyperspectral image is surveyed. Finally, the future development is given.
出处
《测控技术》
CSCD
北大核心
2009年第5期1-6,共6页
Measurement & Control Technology
基金
国家自然科学基金资助项目(60772069)
国家863计划资助项目(2008AA01A313
2009AA12Z111)
关键词
成像光谱图像
预处理
预测
变换
矢量量化
hyperspectral image
pre-processing
prediction
transform
vector quantization
