一种面向辅助导航的基于超复数的极化SAR图像匹配方法
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- 英文论文题名：A Navigation Aided Polarimetric SAR Image Matching Method Based on Hypercomplex Numbers
- 论文作者：马文婷 ; 左毅 ; 胡振 ; 吴蔚 ; 张桂林
- 英文论文作者：MA Wen-ting ; ZUO Yi ; HU Zhen ; WU Wei ; ZHANG Gui-lin ; Science and Technology on Information System Engineering Lab ; The 28th Research institute of CETC
- 年：2017
- 作者机构：中国电子科技集团公司第二十八研究所信息系统工程重点实验室;
- 论文关键词：极化合成孔径雷达(Synthetic Aperture Radar ; SAR)图像 ; 辅助导航 ; 超复数 ; 快速傅里叶变换 ; 多通道联合图像匹配方法
- 英文论文关键词：Polarimetric Synthetic Aperture Radar(SAR) Image ; Navigation Aided ; Hypercomplex Numbers ; Fast Hypercomplex Fourier Transform ; Multi-channel Joint Image Matching Method
- 会议召开时间：2017-07-03
- 会议录名称：第五届中国指挥控制大会论文集
- 语种：中文
- 分类号：TN957.52
- 学会代码：ZHKZ
- 会议名称：第五届中国指挥控制大会
- 会议地点：中国北京
- 主办单位：中国指挥与控制学会
- 学会名称：中国指挥与控制学会
- 页数：5
- 文件大小：2247k
- 原文格式：D
- 会议级别：全国
摘要
极化合成孔径雷达图像匹配是修正惯性导航累积误差、提高导航精度的重要手段。针对目前的方法在匹配时没有充分利用极化信息的问题,本文提出了一种基于超复数的极化SAR图像多通道联合匹配方法。该方法通过间接升维的方式,将多通道的极化SAR图像处理为三维空间中的三个互相垂直的矢量,在匹配时能够更充分地利用极化信息。实验结果表明,本文提出的方法即使在极化SAR图像之间存在差异及含有乘性噪声的情况下,仍能够获得精确的匹配结果。
Polarimetric synthetic aperture radar(Pol SAR) image matching plays an important role in correcting the accumulative errors of inertial navigation system(INS). However, most of current Pol SAR image matching methods do not make full use of polarimetric information during matching, so in this paper a multi-channel joint matching method of Pol SAR images based on hypercomplex numbers is proposed. In this method, the three channels of Pol SAR images are treated as three vectors in the three-dimension space by increasing the dimension of traditional methods indirectly. As a result, the method can take more use of polarization information than the traditional ones. In the experiments, the proposed method can obtain precise matching results even when there are differences in detail between Pol SAR images with multiply noises.
Polarimetric synthetic aperture radar(Pol SAR) image matching plays an important role in correcting the accumulative errors of inertial navigation system(INS). However, most of current Pol SAR image matching methods do not make full use of polarimetric information during matching, so in this paper a multi-channel joint matching method of Pol SAR images based on hypercomplex numbers is proposed. In this method, the three channels of Pol SAR images are treated as three vectors in the three-dimension space by increasing the dimension of traditional methods indirectly. As a result, the method can take more use of polarization information than the traditional ones. In the experiments, the proposed method can obtain precise matching results even when there are differences in detail between Pol SAR images with multiply noises.
引文
[1]崔一.基于SAR图像的目标检测研究[D].清华大学.
[2]GAO She-sheng,ZHOU Yong-min,ZHANG Xue-yuan,et al.Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system[J].Aerospace Science and Technology.2009,13:232-237.
[3]INGLADA J,MURON V,PICHARD D,FEUVRIER T.Analysis of artifacts in subpixel remote sensing image registration[J].IEEE Transaction on Geoscience and Remote Sensing,2007,45(1):254–264.
[4]施晓东,刘格.大场景光学遥感图像近岸舰船检测方法[J].指挥信息系统与技术,2014(6):32-35.
[5]MA Wen-ting,YANG Jian.Target detection algorithm for polarimetric SAR images using GOPCE[C].in Processing of IEEE CIE International Conference on Radar.Chengdu,China:IEEE Press,2011:507-509.
[6]MA Wen-ting,YANG Jian,GAO Wei.Automatic GCP extraction in mountainous areas using DEM and Pol SAR data[J].IEEE Geoscience and Remote Sensing Letters,2014,11(12):2075–2079.
[7]马文婷,曲迪,吴蔚,熊朝华,秦洪.基于PWF的极化SAR图像匹配方法[J].指挥信息系统与技术,.2016(2):63-67.
[8]CHUREESAMPANT K,SUSAKI J.Automatic GCP Extraction of Fully Polarimetric SAR Images[J].IEEE Transaction on Geoscience and Remote Sensing,2014,52(1):137-148.
[9]CHOU X,YUN S,ZI W,et al.Multitemporal polarimetric SAR data fusion for land cover mapping[C].Proceedings of 18th IEEE International Conference on Geoinformatics,2010:1-5.
[10]XUAN Y,HUANG Y,YANG J.New approach for improving Mutual Information in POLSAR image registration[C].Proceedings of 10th IEEE International Conference on Signal Processing,2010:853-856.
[11]SCHWIND P,SURI S,REINARTZ P,et al.Applicability of the SIFT operator to geometric SAR image registration[J].International Journal of Remote Sensing,2010,31(8):1959-1980.
[2]GAO She-sheng,ZHOU Yong-min,ZHANG Xue-yuan,et al.Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system[J].Aerospace Science and Technology.2009,13:232-237.
[3]INGLADA J,MURON V,PICHARD D,FEUVRIER T.Analysis of artifacts in subpixel remote sensing image registration[J].IEEE Transaction on Geoscience and Remote Sensing,2007,45(1):254–264.
[4]施晓东,刘格.大场景光学遥感图像近岸舰船检测方法[J].指挥信息系统与技术,2014(6):32-35.
[5]MA Wen-ting,YANG Jian.Target detection algorithm for polarimetric SAR images using GOPCE[C].in Processing of IEEE CIE International Conference on Radar.Chengdu,China:IEEE Press,2011:507-509.
[6]MA Wen-ting,YANG Jian,GAO Wei.Automatic GCP extraction in mountainous areas using DEM and Pol SAR data[J].IEEE Geoscience and Remote Sensing Letters,2014,11(12):2075–2079.
[7]马文婷,曲迪,吴蔚,熊朝华,秦洪.基于PWF的极化SAR图像匹配方法[J].指挥信息系统与技术,.2016(2):63-67.
[8]CHUREESAMPANT K,SUSAKI J.Automatic GCP Extraction of Fully Polarimetric SAR Images[J].IEEE Transaction on Geoscience and Remote Sensing,2014,52(1):137-148.
[9]CHOU X,YUN S,ZI W,et al.Multitemporal polarimetric SAR data fusion for land cover mapping[C].Proceedings of 18th IEEE International Conference on Geoinformatics,2010:1-5.
[10]XUAN Y,HUANG Y,YANG J.New approach for improving Mutual Information in POLSAR image registration[C].Proceedings of 10th IEEE International Conference on Signal Processing,2010:853-856.
[11]SCHWIND P,SURI S,REINARTZ P,et al.Applicability of the SIFT operator to geometric SAR image registration[J].International Journal of Remote Sensing,2010,31(8):1959-1980.