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SAR imaging algorithm for the burden surface in BF based on cok algorithm

机译:基于cok算法的高炉炉料表面SAR成像算法

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According to the principle of two-dimensional SAR imaging, a new algorithm is proposed for the burden surface of blast furnace(BF). The cable phase correction and background suppression technology reduces the influence of noise efficiently in the test environment. As the proposing of the threshold denoising method of SAR BF imaging, the imaging resolution improves by 22.6% at the azimuth direction and the peak SNR reaches 48.13. The imaging of the shape of the coke and iron ore and simulated stock line for raw materials has been realized, of which simulation and experiment results verify the effectiveness and feasibility of the new algorithm in the laboratory.
机译:根据二维SAR成像原理,提出了一种高炉炉料表面的新算法。电缆相位校正和背景抑制技术可有效降低噪声在测试环境中的影响。由于提出了SAR BF成像的阈值去噪方法,在方位方向成像分辨率提高了22.6%,峰值信噪比达到了48.13。实现了焦炭,铁矿石的形状成像和模拟的原料库存线,其中的仿真和实验结果验证了该新算法在实验室中的有效性和可行性。

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