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国土资源遥感  2010, Vol. 22 Issue (1): 24-29    DOI: 10.6046/gtzyyg.2010.01.04
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
机载双天线InSAR复图像自动配准研究
孙中昶1,2, 郭华东1, 焦孟梅3, 刘广1
1.中国科学院对地观测与数字地球科学中心,北京100012; 2.中国科学院研究生院,北京100039;3.北京勘查技术工程有限公司,北京100190
The Automatic Registration of Airborne Dual-Antenna Interferometric
SAR Complex Images
SUN Zhong-chang 1, 2, GUO Hua-dong 1, JIAO Meng-mei 3, LIU Guang 1
1.Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100012,China; 2.Graduate School of Chinese Academy of Sciences, Beijing 100039,China; 3.Beijing Explo-Tech Engineering Corp, Beijing 100190,China
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摘要 

干涉雷达复图像之间的精确配准是提高雷达干涉测量精度的关键之一。对于机载双天线干涉雷达系统,精确的地形高程测量需要精确的干涉

相位来保证,从而要求干涉复图像在亚像元级的精确配准。为了使两幅机载双天线InSAR复图像之间配准精度达到亚像元级以及提高运算效率,在分

析前人算法的基础上,分别采用基于快速傅里叶变换(FFT)复相关精配准算法以及基于过采样图像的精配准方法对机载双天线InSAR复图像进行精

配准试验和比较,生成了干涉条纹图,并进行了相干性分析。试验结果表明,机载双天线复图像相干性很高、偏移量较小; 对于机载双天线复数据

而言,这两种方法都可以有效地实现复图像数据的高精度配准,但是从配准精度以及算法运行时间来看,基于FFT的复相关精配准算法较优,运算效

率更高,且更具实用性。

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杨清华
齐建伟
孙永军
关键词 高分辨率卫星遥感数据土地利用动态监测应用研究    
Abstract

For the purpose of improving the precision of SAR interferometric measurement, the registration of InSAR complex images

is one of the key technologies involved in SAR interferometry. For the airborne dual-antenna InSAR system, the accurate terrain

elevation measurement needs to be ensured by the accurate interferometric phase; therefore, the registration of sub-pixel complex

images is very important. In order to improve the registration precision and computational speed of airborne dual-antenna

interferometric SAR complex images, the authors employed the methods of complex correlation fine registration based FFT and over

-sampling image fine registration in this study. Chinese airborne dual-antenna InSAR complex images were chosen to perform the

above-mentioned algorithms; meanwhile, interferogram was generated and the coherence of registered images was analyzed.The

results show that both algorithms are feasible and robust.However, through analyzing registration precision and computational

speed of the two algorithms, the authors have reached the conclusion that the complex correlation fine registration  based FFT

method is more accurate, and its computation efficiency is higher. The practical application also proves that the complex

correlation fine registration based FFT method is applicable and effective.

Key wordsIRS    KOMPSAT-1    IKONOS    Landuse dynamic monitoring    Merged images
     出版日期: 2010-03-22
引用本文:   
孙中昶, 郭华东, 焦孟梅, 刘广. 机载双天线InSAR复图像自动配准研究[J]. 国土资源遥感, 2010, 22(1): 24-29.
SUN Zhong-Chang, GUO Hua-Dong, JIAO Meng-Mei, LIU Guang. The Automatic Registration of Airborne Dual-Antenna Interferometric
SAR Complex Images. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(1): 24-29.
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http://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.01.04      或      http://www.gtzyyg.com/CN/Y2010/V22/I1/24
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