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Application of the interferometric synthetic aperture radar (IFSAR) correlation file for use in feature extraction

机译:干涉合成孔径雷达(IFSAR)相关文件在特征提取中的应用

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Fine resolution synthetic aperture radar (SAR) and interferometric synthetic aperture radar (IFSAR) have been widely used for the purpose of creating viable terrain maps. A map is only as good as the information it contains. Therefore, it is a major priority of the mapmakers that the data that goes into the process be as complete and accurate as possible. In this paper, we analyze IFSAR correlation/de-correlation data to help in terrain feature information. The correlation data contains the correlation coefficient between the bottom and top IFSAR radar channels. It is a 32-bit floating-point number. This number is a measure of the absolute complex correlation coefficient between the signals that are received in each channel. The range of these numbers is between zero and unity. Unity indicates 100% correlation and zero indicates no correlation. The correlation is a function of several system parameters including signal-to-noise ratio (SNR), local geometry, and scattering mechanism. The two radar channels are physically close together and signals are inherently high correlated. Significant difference is found beyond the fourth decimal place. We have concentrated our analysis on small features that are easily detectable in the correlation/de-correlation data and not so easily detectable in the elevation or magnitude data.
机译:精细分辨率合成孔径雷达(SAR)和干涉式合成孔径雷达(IFSAR)已被广泛用于创建可行地形地图的目的。地图只有它包含的信息。因此,它是MapMakers的主要优先事项,即进入该过程的数据尽可能完整和准确。在本文中,我们分析IFSAR相关/去相关数据以帮助地形特征信息。相关数据包含底部和顶部IFSAR雷达信道之间的相关系数。这是一个32位浮点数。该数字是在每个信道中接收的信号之间的绝对复杂相关系数的量度。这些数字的范围在零和统一之间。 Unity表示100%的相关性,零表示无相关性。相关性是几个系统参数的函数,包括信噪比(SNR),局部几何和散射机制。两个雷达通道物理地靠近在一起,信号本质上是高相关的。超出了第四个小数位的重要差异。我们集中了我们对易于检测的小功能的分析,在相关/去相关数据中易于检测,并且在高度或大小数据中不可易于检测。

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