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遥感技术与应用  1997, Vol. 12 Issue (4): 1-6    DOI: 10.11873/j.issn.1004-0323.1997.4.1
研究与应用     
山区地形星载SAR影像的几何纠正
李 震 孙文新 曾群柱
(中国科学院兰州冰川冻土研究所 兰州  730000)
The Correction of Geometric Distortions of the Spaceborne
SAR Image in Alpine Area
LI Zhen  SUN Wenxin  ZENG Qunzhu
(Lanzhou Institute of Glaciology&Geocryology,
The Chinese Academy of Sciences,Lanzhou  730000)
 全文: PDF 
摘要:

随着搭载合成孔径雷达的各种卫星不断发射,SAR的研究越来越受到重视。由于SAR数据独特的成像方式,山区地形的星载SAR图像几何形变十分复杂。通常应用控制点,采用多项式拟合的方法已经无法将其改正。依据SAR的几何成像模型,利用有关卫星轨道参数和数字高程模型,进行山区地形SAR影像的几何纠正研究。研究利用少量轨道参数和DEM数据,通过坐标变换和投影成像误差纠正建立正确的坐标位置,并采用邻近元采样法完成几何纠正。以上方法应用于山区ERS-1/SAR影像的处理试验结果表明,该方法能够用于山区复杂地形的几何纠正,其误差小于2个像元。

关键词: SAR 山区地形 DEM 几何纠正    
Abstract:

The investigation of the SAR application became increasingly important with the
launch of various satellites carried SAR sensors.The geometric distortion of SAR image in
alpine terrain is more complex caused by the sidelooking imaging technique and by terrain
undulation,which cannot be rectified using regularly method,such as two dimensional
polynomials by use of ground control points.In this paper,the correcting method of geo-
metric distortion in alpine terrain using fly parameters and DEM was introduced ,based on
the imaging geometry of SAR image.The algorithm of correcting the distortion was pre-
sented,according to the analysis of the error’s resource of distortion caused by terrain
height variation.An experiment to test this algorithm was carried out by using the ERS-1
SAR image in Banff,Canada.The result showed this algorithm produces high precision re-
sult to correct the geometric distortion in alpine area.

Key words: Synthetic aperture radar    Alpine terrain    Digital Elevation Model    Geometric correction
收稿日期: 1997-07-16 出版日期: 2012-04-12
:  TP751  
基金资助:

国家自然科学基金(49471058)、测绘遥感信息工程国家重点实验室开放研究基金及天山冰川观测实验站开放基
金资助项目

作者简介: 李震,男,1966年10月出生,博士,主要从事微波遥感图像处理及应用研究。
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引用本文:

李 震 孙文新 曾群柱. 山区地形星载SAR影像的几何纠正[J]. 遥感技术与应用, 1997, 12(4): 1-6.

LI Zhen SUN Wenxin ZENG Qunzhu. The Correction of Geometric Distortions of the Spaceborne
SAR Image in Alpine Area. Remote Sensing Technology and Application, 1997, 12(4): 1-6.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.1997.4.1        http://www.rsta.ac.cn/CN/Y1997/V12/I4/1

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