摘要
提出了一种基于FPGA(Field programmable gate array)平台实现的星上时间延时积分电荷耦合器件(Time delay integrate charge coupled device,TDICCD)遥感图像实时合成压缩方法。首先,在信号的处理流程上进行创新。然后,针对TDICCD线阵推扫成像模式的特点,采用一种改进的、无需训练的、基于LMS(Least mean square)的自适应预测编码方法进行合成压缩。最后进行试验验证,结果表明:本文算法在对图像进行无损压缩和2倍压缩时,系统主时钟从110MHz分别降低为80 MHz和60 MHz,恢复图像的PSNR(Peak signal-tonoise ratio)至84dB以上;处理每行的平均时间为57.3μs,小于相机的最小行周期63μs,满足实时性要求。
In order to solve the problem of imaging system instability caused by high work frequency of the image composing circuit on the satellite, the camera structure was innovated. A composing and compression method of time delay integrate charge coupled device （TDICCD） based on field programmable gate array （FPGA） platform for satellite remote sensing data was proposed. First, the signal flow was improved. Then, based on TDICCD linear array push-broom imaging mode characteristics, an improved predictive code method based on least mean square （I.MS） was used for composing and compression. Finally, experiments were conducted on a platform to validate the proposed method. Experimental results indicate that the system clock is reduced to 80 MHz and 60 MHz, respectively, from the original 110MHz in the lossless and 2 times compression. The peak signal-to-noise ratio （PSNR） of the reconstructed image is bigger than 84 dB; the average processing time of one line image is 57.3 /~s, which is smaller than camera/s smallest line period. The proposed algorithm is stable and it can achieve the composing and compression of multi-channel TDICCD remote image within the camera.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2013年第6期1680-1684,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61036015)
关键词
信息处理技术
实时合成压缩
自适应预测
推扫式遥感相机
information processing technology
real-time composing and compression
self-adaptive prediction
push-broom remote-sensing camera
