摘要
从分析SAR图像数据特征对压缩编码的影响入手,归纳了SAR图像压缩必须考虑的实际情况,总结了SAR图像压缩发展至今的几种典型技术并讨论了它们的压缩效能。理论和实验证明:预测编码、矢量量化,变换编码和一些特定技术各有优缺点,其中自适应余弦变换编码 (ADCT)在现阶段最适于SAR图像压缩,自适应小波变换编码(ADWT)将随着小波理论的完善而成为最有发展前途的一种SAR图像压缩技术。
Starts with studying the relationship of SAR image’s data characteristics and its compression coding, and then sums up some issues that should be noticed during SAR image compression. Some state of the art SAR image compression techniques are concluded and their compression efficiencies are discussed. Theory and experimentation prove that predicting compression, vector quantization, transform compression and some special techniques have their pluses and minuses at the same time, Adaptive Cosine Transform (ADCT) compression is most suitable to SAR image compression comparatively nowadays and Adaptive Wavelet Transform (ADWT) compression will be one of the most potential SAR image compression techniques along with the theory of wavelet perfecting.
出处
《计算机应用研究》
CSCD
北大核心
2005年第4期6-8,41,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60272022)
关键词
合成孔径雷达
图像压缩
Synthetic Aperture Radar (SAR)
Image Compression
