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Interlook cross-correlation function of speckle in SAR images of sea surface processed with partially overlapped subapertures

机译:部分重叠子孔径处理后的海面SAR图像中斑点间互相关函数

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In the present paper, a general integral expression is derived and discussed for the cross-correlation function (CCF) of speckle patterns in synthetic aperture radar (SAR) images processed by using partially overlapped subapertures of arbitrary Doppler center frequencies (or equivalent azimuth times). It is shown that, under the white noise approximation for the backscattered field, the CCF of the interlook speckle intensity patterns is given by the squared modulus of the autocorrelation function of the amplitude weighting function of subapertures where the time lag is the center time difference. It is also shown that the CCF of the interlook speckle patterns is independent of the surface coherence time of sea surface. The integral expression for the intensity CCF is then evaluated for a rectangular weighting function, and comparison is made with Japanese Earth Resources Satellite-1 (JERS-1) L-band and RADARSAT-1 C-band SAR images of sea surface to test the theory. The CCFs computed from the JERS-1 SAR data show excellent agreement with the theory, and good agreement is obtained with the RADARSAT-1 data.
机译:本文通过使用任意多普勒中心频率(或等效方位角时间)的部分重叠子孔径处理的合成孔径雷达(SAR)图像中的散斑图的互相关函数(CCF),导出并讨论了一般积分表达式。 。结果表明,在后向散射场的白噪声近似下,视线散斑强度图案的CCF由子孔径的振幅加权函数的自相关函数的平方模数给出,其中时滞为中心时差。还表明,相互间的斑点图案的CCF与海面的表面相干时间无关。然后评估强度CCF的积分表达式的矩形加权函数,并与日本地球资源卫星1(JERS-1)L波段和RADARSAT-1 C波段海面SAR图像进行比较,以测试理论。从JERS-1 SAR数据计算得到的CCF与理论非常吻合,与RADARSAT-1数据也获得了很好的吻合。

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