摘要
合成孔径雷达图像压缩有助于减少数据率，对图像传输和存贮效率的提高有积极的意义。对合成孔径雷达图像统计模型进行了研究，给出了其概率分布和相关性能分析，并用ＳＥＡＳＡＴ－ＳＡＲ数据进行了统计。据此提出了无失真压缩算法，达到了熵压缩边界，并对合成孔径雷达有失真压缩进行了讨论。
Synthetic Aperture Radar Image's Compression Conding will benefit both the data transmission and data memory.The SAR image statistic model is analyzed. SEASAT-SAR image's probability distribution and auto--correlation property is given. After that, lossless compression ceding is performed on SEASAT-SAR images. DPCM +Huffman coding is probed to best suit for SAR image's lossless compression. At last,a simple discussion of SAR image lossy compression is made.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
1996年第4期357-361,共5页
Journal of University of Electronic Science and Technology of China
基金
国家科委863高科技项目
关键词
合成孔径雷达
图像压缩
信源编码
synthetic aperture radar
image compression
source coding
