插值运算在SAR成像处理中的应用
The Application of Interpolation Algorithm in SAR Image Processing

作者: 顾久祥 :中国科学院遥感与数字地球研究所,北京; 王 浩 :清华大学土木工程系地球空间信息研究所,北京;

关键词: 插值SARRDsinc最近邻域Interpolation SAR RD sinc Nearest Neighbor

摘要:

在SAR的回波数据的成像处理中,距离徙动校正是影响二维压缩成像聚焦效果的重要因素。本文以正侧视SAR成像为例,研究了2种插值算法:最近邻域近似法、sinc插值法在RD算法成像中的应用。通过计算机仿真,分析比较了2种插值方法的运算量和校正弯曲的效果结果,并在Matlab环境下利用插值算法进行了实际Radarsat-1的卫星数据成像处理。结果表明如果对精度要求低可选用运算量较小的最近邻域插值,对精度要求高时可以选用插值点较多的sinc插值。

Abstract: In the processing of SAR echo data imaging, RCMC is an important factor which affects the focusing effect of two-dimensional image compression. In this paper, we take the positive side of SAR imaging for example, and research the application of the nearest neighbor approximation and sinc interpolation algorithm in RD imaging. By computer simulation, we analyze and compare the computation and bending effects of the two interpolation methods, and apply them in the imaging process of Radarsat-1 satellite in Matlab environment. The results show that the nearest neighbor approximation is suitable for low precision requirements with the benefits of small computation, and sinc interpolation algorithm is more suitable for high accuracy requirements with more in- terpolation points.

文章引用: 顾久祥 , 王 浩 (2014) 插值运算在SAR成像处理中的应用。 国际航空航天科学, 2, 1-9. doi: 10.12677/JAST.2014.21001

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