一种空间划分与谱间预测相结合的超光谱图像压缩新方法

超光谱图像因其纹理丰富复杂、波段多、光谱分辨率高等特点,在军事、海洋、农业等多方面都应用广泛,但也因其数据量大在数据传输时受到很多限制,研究一种高效超光谱图像压缩方法有着重要的意义.目前光谱图像的压缩方法主要分为基于变换、基于预测和基于矢量量化三大方面,其中基于预测的方法具有易于实现、压缩比高等优势应用广泛.文章首先对...

A new hyperspectral image compression method combined with subspace partition and multi-inter-spectral prediction

Because of their rich and complex texture, multi-band and high spectral resolution, hyperspectral images are widely used in military, marine, agriculture and other aspects; however, their huge data also brings many troubles. Currently, there're almost three types of the hyper-spectral image compression methods: the method based on transform, prediction and vector quantization, among which, the method based on prediction has the advantages such as easy implement and higher compression ratio, then it's widely used. In the present paper, features of hyperspectral images are analyzed first in detail, then inter-spectral prediction algorithm is improved, and a new scheme which consists of subspace partition and multi-inter-spectral prediction is proposed, and finally, the experiments show that the program is effective.