基于目标适合传输的SAR图像编码  

Target-based SAR image coding for transmission

作　　者：袁小红[1] 朱兆达[1] 张弓[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,江苏南京210016

出　　处：《系统工程与电子技术》2011年第2期296-300,共5页Systems Engineering and Electronics

摘　　要：基于目标的图像编码是解决无人机载合成孔径雷达(synthetic aperature radar,SAR)图像在有限带宽信道上实时传输的有效办法。本文算法采用双参数恒虚警(constant false alarm rate,CFAR)检测将SAR图像分割成目标与背景,子带变换后根据感兴趣区(regions of interest,ROI)掩膜将子带系数分类成目标与背景序列,以稳健固定码率网格编码量化(fixed-rate trellis coded quantization,FRTCQ)高保真编码目标区,以FRTCQ低分辨率编码背景来实现大幅度地压缩。对SAR图像编码实验表明,本文算法既能取得较好的目标区保真度,又能达到较高的压缩比,同时计算复杂度增加有限。Target-based image coding is important to address image transmission in real time over bandlimited channels for synthetic aperture radar（SAR） payloads deployed on unmanned aerial vehicles（UAV）.The algorithm proposed uses a two parameters constant false alarm rate（CFAR） detector to extract regions of interest（ROIs） and classifies the subband coefficients into target sequences and background data according to ROI mask.The target sequences are all-pass filtered being nearly Gaussian distribution and encoded with fixed-rate trellis coded quantization（FRTCQ） with high fidelity.The background data are encoded at a low bit rate with FRTCQ directly.Encoding experiment with SAR images shows that high target area performance can be achieved while large compression ratio is obtained,limited computation burden is added.

关 键 词：合成孔径雷达 子带编码 目标检测 图像编码 网格编码量化 

分 类 号：TN957.52[电子电信—信号与信息处理]