基于北斗地球同步轨道卫星多星成像的图像融合
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摘要
利用大型轨道卫星系统(global nanigation satellite system,GNSS)导航卫星作为发射信号源的双基地雷达成像方法是一种新型的微波成像手段。由于单颗卫星成像存在空间分辨率不高、信噪比偏低等问题,采用了多颗北斗GEO卫星,获取了多幅卫星成像图,然后将最大互信息准则应用于多幅卫星成像图的配准,利用Powell算法将最大互信息作为目标函数搜索卫星成像图几何变换的最优配准参数;最后使用高频带融合方法对配准后的卫星成像图进行融合以提高图像质量。将配准后融合的卫星成像图与Google实景地图比较的结果表明,该多星成像融合算法使得信号增益提高了约20%;且避免了同一目标点在不同位置多次叠加产生的成像混淆,从而达到了提高成像精度的效果。
Bistatic radar imaging using global navigation satellite system(GNSS) navigation satellites as signal transmission sources is a new method of microwave imaging.To overcome the harm of the low spatial resolution and low signal-to-noise ratio of single satellite imagery,multiple Beidou GEO satellites were used to obtain multiple satellite images.Then,the maximum mutual information criterion was used to register multiple satellite images and used maximum mutual information as an objective function to search the optimal registration parameters in satellite images transformation(Powell algorithm).Finally,the satellite imagery after registration by the high-band fusion method was fused to improve the quality of image.In the comparison with fused satellite imagery and Google real image maps,the conclusion shows that the signal gain has been improved by about 20% through multi-satellites imaging fusion algorithm.It also shows that multiple overlays of identical target points at different locations have been avoided,thus,the effect of improving imaging accuracy was achieved.
Bistatic radar imaging using global navigation satellite system(GNSS) navigation satellites as signal transmission sources is a new method of microwave imaging.To overcome the harm of the low spatial resolution and low signal-to-noise ratio of single satellite imagery,multiple Beidou GEO satellites were used to obtain multiple satellite images.Then,the maximum mutual information criterion was used to register multiple satellite images and used maximum mutual information as an objective function to search the optimal registration parameters in satellite images transformation(Powell algorithm).Finally,the satellite imagery after registration by the high-band fusion method was fused to improve the quality of image.In the comparison with fused satellite imagery and Google real image maps,the conclusion shows that the signal gain has been improved by about 20% through multi-satellites imaging fusion algorithm.It also shows that multiple overlays of identical target points at different locations have been avoided,thus,the effect of improving imaging accuracy was achieved.
引文
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10裴博宇,严颂华,王泉德,等.利用北斗反射信号探测目的初步实验.雷达科学与技术,2015;15(6):615-621Pei Boyu,Yan Songhua,Wang Quande,et al.A preliminary experiment of target detection based on Beidou satellite reflected signal.Radar Science and Technology,2015;15(6):615-621
11吴延海,张烨,张程.基于梯度信息和区域互信息的图像配准.广西大学学报(自然科学版),2017;42(2):720-727Wu Yanhai,Zhang Ye,Zhang Cheng.Image registration based on gradient and regional mutual information.Journal of Guangxi University(Natural Science Edition),2017;42(2):720-727
12 Xiong B L,Li W C,Zhao L J,et al.Registration for SAR and optical images based on straight line features and mutual information.Geo Science and Remote Sensing Symposium.Beijing:IEEEComputer Society,2016:2582-2585
13 Tian L,Jiang H B,Yi D,et al.An improved medical image registration algorithm based on mutual information.International Conference on Vision.Osaka:IEEE Computer Society,2017:88-93
14李伟,何鹏举,杨恒,等.遗传算法对Powell图像配准方法的改进.计算机工程与应用,2012;48(20):1-5Li Wei,He Pengju,Yang Heng,et al.Genetic algorithm improvement for powell image registration.Computer Engineering and Application,2012;48(20):1-5
15姜庆娟,谭景信.象素级图像融合方法与选择.计算机工程与应用,2003;39(25):116-120Jiang Qingjuan,Tan Jingxin.The methods of the pixel level image fusion and the choice of the methods.Computer Engineering and Application,2003;39(25):116-120
2 Tian Y N.Research on the application of Beidou two generation navigation and positioning system in logistics.Robots&Intelligent System.Huai,an:IEEE Computer Society,2017:270-272
3 Andrei A,Remus C,Adrian-Septimiu M,et al.Bistatic SAR imaging with Sentinel-1 operating in TOPSAR mode.Radar Conference.Seattle:IEEE Computer Society,2017:601-605
4 Tzagkas D,Antoniou M,Cherniakov M.Coherent change detection experiments with GNSS-based passive SAR.Radar Conference(EuRAD).Seattle:IEEE Computer Society,2017:262-265
5 Lu J,Ren Y,Li X H,et al.Analysis of system time performance in Beidou satellite navigation system.Frequency Control Symposium&the European Frequency and Time Forum.Denver:IEEE Computer Society,2015:297-299
6吴俊.多基地SAR成像方法研究.成都:电子科技大学,2016Wu Jun.Multistatic SAR imaging method studies.Chengdu:University of Electronic Science and Technology of China,2016
7 Antoniou M,Zeng Z,Liu F F,et al.Experimental demonstration of passive BSAR imaging using navigation satellites and a fixed receiver.IEEE Geoscience&Remote Sensing Letters,2012;9(3):477-481
8倪崇,张庆君,刘杰,等.应用北斗导航卫星信号的GEOSAR成像机理验证方法.航天器工程,2016;25(5):19-24Ni Chong,Zhang Qingjun,Liu Jie,et al.Imaging mechanism verification of GEO SAR based on Beidou navigation satellite signal.Spaceraft Engineering,2016;25(5):19-24
9陕娟,严颂华,裴博宇,等.基于北斗地球静止轨道卫星信号的目标成像研究.科学技术与工程,2017;17(5):82-88Shan Juan,Yan Songhua,Pei Boyu,et al.Study on target imaging based on Beidou Geo satellites signal.Science Technology and Engineering,2017;17(5):82-88
10裴博宇,严颂华,王泉德,等.利用北斗反射信号探测目的初步实验.雷达科学与技术,2015;15(6):615-621Pei Boyu,Yan Songhua,Wang Quande,et al.A preliminary experiment of target detection based on Beidou satellite reflected signal.Radar Science and Technology,2015;15(6):615-621
11吴延海,张烨,张程.基于梯度信息和区域互信息的图像配准.广西大学学报(自然科学版),2017;42(2):720-727Wu Yanhai,Zhang Ye,Zhang Cheng.Image registration based on gradient and regional mutual information.Journal of Guangxi University(Natural Science Edition),2017;42(2):720-727
12 Xiong B L,Li W C,Zhao L J,et al.Registration for SAR and optical images based on straight line features and mutual information.Geo Science and Remote Sensing Symposium.Beijing:IEEEComputer Society,2016:2582-2585
13 Tian L,Jiang H B,Yi D,et al.An improved medical image registration algorithm based on mutual information.International Conference on Vision.Osaka:IEEE Computer Society,2017:88-93
14李伟,何鹏举,杨恒,等.遗传算法对Powell图像配准方法的改进.计算机工程与应用,2012;48(20):1-5Li Wei,He Pengju,Yang Heng,et al.Genetic algorithm improvement for powell image registration.Computer Engineering and Application,2012;48(20):1-5
15姜庆娟,谭景信.象素级图像融合方法与选择.计算机工程与应用,2003;39(25):116-120Jiang Qingjuan,Tan Jingxin.The methods of the pixel level image fusion and the choice of the methods.Computer Engineering and Application,2003;39(25):116-120