机载SAR的运动误差的二维空变性及其补偿
doi: 10.3724/SP.J.1146.2007.01169
The Two-Dimensional Spatial-Variant Properties of Airborne SAR Motion Error and Its Compensation
-
摘要: 精确的运动补偿是高分辨率机载SAR成像的关键,尤其对于机载小平台和大扰动情况下的成像具有重要意义。为了获得高质量的SAR图像,该文结合波数域算法,考虑运动误差的二维空变性,提出了具体的运动补偿算法,并基于实测数据得到了成像结果。结果显示,该文提出的算法对运动误差有较好的补偿效果。Abstract: The precise motion compensation is a crucial issue for high-resolution airborne SAR imaging, which is especially important for SAR imaging under airborne small platform or severe disturbance. In order to obtain high-quality SAR images, combining wavenumber domain algorithm and considering the two-dimensional spatial-variant properties of motion error, practical motion compensation algorithms are put forward in this paper. Simulation and SAR imaging results based on practical measuring data with these algorithms are given to prove the feasibility of this method.
-
Fornaro G. Trajectory deviation in airborne SAR: Analysisand compensation[J].IEEE Trans. on Aerospace and ElectronicSystems.1999, 35(4):997-1009[2]Fornaro G, Franceschetti G, and Perna S. Motioncompensation errors: Effects on the accuracy of airborne SARimages. IEEE Trans. on Aerospace and Electronic Systems,2005, 41(4): 1338-1352.[3]Moreira A and Huang Y. Airborne SAR processing of highlysquinted data using a chirp scaling approach with integratedmotion compensation[J].IEEE Trans. on Geoscience andRemote Sensing.1994, 32(5):1029-1040[4]Reigber A, Potsis A, Alivizatos E, Uzunoglu N, and MoreiraA. Wavenumber domain SAR focusing with integratedmotion compensation. IGARSS '03. Proceedings, Toulouse,France, 2003, 3: 1465-1467.[5]Macedo K A C and Scheiber R. Precise topography- andaperture-dependent motion compensation for airborne SAR[J].IEEE Geoscience and Remote Sensing Letters.2005, 2(2):172-176[6]Potsis A, Reigber A, and Mittermayer J. Sub-aperturealgorithm for motion compensation improvement inwide-beam SAR data processing[J].Electronics Letters.2001,37(23):1405-1407 期刊类型引用(5)
1. 刘继忠,郑恩涛,贺艳涛,付珊珊,赵鹏. 一种分块图像的BP压缩感知重构算法. 新疆大学学报(自然科学版). 2018(03): 340-347 . 百度学术
2. 葛永新,林梦然,洪明坚. 联合局部和全局稀疏表示的磁共振图像重建方法. 重庆大学学报. 2017(01): 93-102 . 百度学术
3. 赵扬,汤敏. 基于不同全变差的医学图像压缩感知重构. 计算机工程与设计. 2017(09): 2443-2450+2463 . 百度学术
4. 王锋,孙桂玲,张健平,何静飞. 基于压缩感知的加速前向后向匹配追踪算法. 电子与信息学报. 2016(10): 2538-2545 . 本站查看
5. 温海滨,毕笃彦,马时平,何林远. 消除阶梯效应与增强细节的变分Retinex红外图像增强算法. 光学学报. 2016(09): 130-139 . 百度学术
其他类型引用(14)
-
计量
- 文章访问数: 3324
- HTML全文浏览量: 98
- PDF下载量: 1011
- 被引次数: 19