Composing and compression of satellite multi-channel remote sensing images

LIU Chun-xiang; GUO Yong-fei; LI Ning; SI Guo-liang; LI Yu-fei

doi:10.3788/OPE.20132102.0445

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Composing and compression of satellite multi-channel remote sensing images

Article | 更新时间：2020-08-12

- Composing and compression of satellite multi-channel remote sensing images
- Optics and Precision Engineering Vol. 21, Issue 2, Pages: 445-453(2013)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所2. 中国科学院大学3. 中国科学院长春光学精密机械与物理研究所
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132102.0445
  CLC： TP751
- Received：09 March 2012，
  
  Revised：04 May 2012，
  
  Published Online：23 February 2013，
  
  Published：15 February 2013
- 稿件说明：
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刘春香郭永飞李宁司国良李云飞. 星上多通道遥感图像的实时合成压缩[J]. 光学精密工程, 2013,21(2): 445-453

LIU Chun-xiang GUO Yong-fei LI Ning SI Guo-liang LI Yu-fei. Composing and compression of satellite multi-channel remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 445-453
刘春香郭永飞李宁司国良李云飞. 星上多通道遥感图像的实时合成压缩[J]. 光学精密工程, 2013,21(2): 445-453 DOI： 10.3788/OPE.20132102.0445.

LIU Chun-xiang GUO Yong-fei LI Ning SI Guo-liang LI Yu-fei. Composing and compression of satellite multi-channel remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 445-453 DOI： 10.3788/OPE.20132102.0445.

摘要

针对星上图像整合电路工作频率过高而造成的成像系统工作不稳定的问题，讨论了相机结构的改进，提出了一种基于现场可编程门阵列（FPGA）平台实现星上时间延迟积分CCD（TDICCD）遥感图像实时合成压缩的方法。介绍了星上多通道遥感图像实时合成压缩的原理。针对TDICCD线阵推扫成像模式的特点，使用改进的JPEG-LS压缩算法；通过自适应量化动态地控制码率，在FPGA硬件平台上实现了图像数据的实时合成压缩。试验验证结果表明，在无损压缩和2倍压缩时，系统主时钟从原来的100 MHz分别降低为80 MHz和64 MHz，整合电路的工作稳定，恢复图像的峰值信噪比（PSNR）满足大于80 dB的要求。提出算法的存储量小，处理每行的平均时间为57.5 μs，小于相机的最小行周期63 μs，满足实时性要求。本文系统可靠性高，算法稳定，实现了星上多通道时间延迟积分CCD相机内部的实时合成压缩。

Abstract

To improve the understable imaging system caused by the high work frequency of image composing circuit on a satellite

the structure of a camera was innovated. A composion and compression method of Time Delay Integration CCD(TDICCD) based on a Field Programming Gate Array(FPGA) platform was proposed for satellite remote sensing data. The principle of real-time compostion and compression for multi-channel satellite remote sensing data was introduced. Then

based on the characteristics of TDICCD linear array push-broom imaging mode

the improved JPEG-LS was used. By taking adaptive quantization to control the coding rate dynamically

composion and compression of image data were simultaneously achieved on the FPGA. At last

an experiment platform was established for the validation. Experimental results indicate that the system clock has reduced to 80 MHz and 64 MHz

respectively

from the original 100 MHz in the lossless and 2-time compression and the Peak Signal Noise Ratio(Reconstruct PSNR) of the image is higher than 80 dB. As the proposed algorithm has low storage capacity

the average processing time of one line image is 57.5 μs

smaller than the smallest line period of the camera. The proposed algorithm is stable and the system is reliable and achieves the composion and compression of multi- channel TDICCD remote image within the camera.

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references

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