基于JPEG2000和自适应预测的高光谱图像压缩方法

随着遥感技术的发展，其应用领域大大拓展，随之也带来了遥感数据的海量增长，给传输和存储带来了极大困难，因此必须对遥感数据进行压缩。遥感图像具有不同于自然图像的特性，针对遥感图像的特点，介绍了一种自适应预测和JPEG2000相结合的无损压缩编码算法，即首先采用基于图像灰度分布局部相关特性的谱问预测器去除谱问冗余，再利用静止图像压缩新标准（JPEG2000）对预测得到的差值图像进行编码压缩。仿真实验取得了令人满意的结果，证明了该算法的有效性。

Compression of Hyperspectral Imagery Based on JPEG2000 and Adaptive Prediction

With the development of remote sensing technology, it has been applied in more and more domains. It is necessary to compress remote sensing data because of the rapid increase of remote sensing data. Remote sensing images have special properties compared with nature images. Considering the specialty of remote sensing image, a lossless hybrid compression algorithm using adaptive prediction and JPEG2000 is introduced. First, the inter - band redundancy is removed using prediction based on local correlation of gray value of image, and then, the residual images are compressed using JPEG2000 still image compression standard. The experimental results show that the algorithm is satisfactory and efficient.