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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >A Multifeature Autosegmentation-Based Approach for Inshore Ambiguity Identification and Suppression With Azimuth Multichannel SAR Systems
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A Multifeature Autosegmentation-Based Approach for Inshore Ambiguity Identification and Suppression With Azimuth Multichannel SAR Systems

机译：基于多特征自动分割的方位角多通道SAR系统近岸歧义识别和抑制方法

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摘要

To address the problems of location and suppression of inshore azimuth ambiguous clutter for the azimuth multichannel synthetic aperture radar (SAR) systems, a multifeature autosegmentation-based approach is developed in this paper. This proposed method can segment a SAR image automatically according to the distinctions among main land clutter, ambiguous land clutter, and sea clutter in the features of interferogram's phase and magnitude. First, the finite mixture clutter model for a multilook covariance matrix (MLCM) is built, where the off-diagonal elements of the MLCM contain the information of magnitude and interferogram's phase between azimuth channels. Then, SAR image autosegmentation is carried out by using the expectation maximum algorithm with combination of the aforementioned mixture model, and the isolated points that are segmented incorrectly can be eliminated via exploiting the Markov random field smoothing technique. Finally, azimuth ambiguous clutter can be suppressed by means of the clutter covariance matrix, which is constructed by the training samples of segmented ambiguities. The experiments on simulated data and real data measured by TerraSAR-X demonstrate that the proposed approach can obtain the more accurate position information and good cancellation performance for the azimuth ambiguous clutter, without the accurate system parameters and the information of the sources account for azimuth ambiguities.
机译：为了解决方位角多通道合成孔径雷达（SAR）系统近岸方位模棱两可的杂波的定位和抑制问题，提出了一种基于多特征自动分割的方法。该方法可以根据干涉图的相位和幅度特征，根据主陆杂波，海陆杂波和海杂波的区别自动分割SAR图像。首先，建立了多视协方差矩阵（MLCM）的有限混合杂波模型，其中MLCM的非对角线元素包含幅度信息和方位角通道之间的干涉图相位。然后，结合上述混合模型，使用期望最大值算法对SAR图像进行自动分割，利用马尔可夫随机场平滑技术可以消除分割不正确的孤立点。最终，可以通过由分段模糊度的训练样本构成的杂波协方差矩阵来抑制方位模棱两可的杂波。在TerraSAR-X实测数据和模拟数据上进行的实验表明，该方法可以获得较准确的位置信息，对方位模棱两可的杂波具有良好的抵消性能，而无需精确的系统参数，并且源信息也不能解释方位角的歧义。 。

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