摘要
高光谱图像是由成像光谱仪在不同光谱波段获得的序列图像,在二维遥感图像的基础上又增加了光谱维的信息。与传统的遥感数据源相比,高光谱数据同时具有空间冗余和谱间冗余的特点。该文在分形理论的基础上,利用分形压缩编码的高压缩比特性,并针对高光谱图像的特点,将分形理论和高光谱图像相结合,设计了一个三维分形压缩编码算法,在去除图像空间相关性的同时,去除了波段图像之间的相关性。
Hyperspectral image is the sequence of image acquired by spectrometer in different wavelength, which increase the information of spectrum based on two dimensional remote-sensing image. Compared to the traditional remote-sensing data source, hyperspectral data is redundancy in space and spectrum. This paper based on fractal theory, use the high compressive ratio character of fractal compression, by the character of hyperspectral image, we applied fractal theory to hyperspectral image and designed a three dimensional fractal compression coding algorithm, which removed the space correlation of image and removed the correlation of wave-range image as well.
出处
《计算机与数字工程》
2011年第9期132-135,共4页
Computer & Digital Engineering
关键词
高光谱图像
分形
相关性
hyperspectral, relativity, fractal
