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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BF负荷表面的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成像的原理,提出了一种新的算法,用于高炉(BF)的负荷表面。电缆相位校正和背景抑制技术有效降低了测试环境中的噪声影响。作为提出SAR BF成像的阈值去噪方法,成像分辨率在方位方向上提高22.6%,峰值SNR达到48.13。已经实现了焦炭和铁矿石的形状的成像,以及原料的模拟库存系列,其中模拟和实验结果验证了实验室中新算法的有效性和可行性。

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