摘要
最近空间数据系统咨询委员会(Consultative Committee for Space Data System,CCSDS)正式发布了CCSDS 123.0-B-1标准。该标准是星载高光谱图像无损压缩以及近无损压缩的国际通用标准。为了减少图像数据存储的容量,降低传输带宽,提高传输速率以及实现实时传输,本文简要介绍了最新的CCSDS算法标准,并采用该算法标准解决了高光谱图像的大容量问题。基于现场可编程门阵列(Field Programmable Gate Array,FPGA)硬件的逻辑实现包括预测器的逻辑描述和编码器的逻辑描述。最后,比较了基于FPGA硬件逻辑实现的高光谱图像无损压缩仿真以及该算法和JPEG-LS算法的压缩特性。结果表明,CCSDS压缩算法可满足高光谱图像压缩比为2:1的要求。
Recently, the Consultative Committee for Space Data System （CCSDS） has released its CCSDS ]23.0-B-1 standard officially. This standard is a general international standard for lossless and near lossless compression of hyperspectral images. To reduce the storage capacity of image data, decrease the data transmission bandwidth, increase the data transmission rate and implement the data transmis- sion in real time, the newest CCSDS algorithm standard is presented in brief and is used to solve the large capacity problem of hyperspectral images. The FPGA-based logic implementation of this algorithm includes the logic description of both a predictor and a encoder. Finally, the lossless compression sim- ulation of hyperspectral images based on FPGA is given. Its compression property is compared with that of the JPEG-LS algorithm. The result shows that the CCSDS compression algorithm can meet the requirement of compression ratio of 2：1 for hyperspectral images.
出处
《红外》
CAS
2013年第12期25-29,共5页
Infrared
