ISAR成像中选择回波数的图像锐化

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI:10.1109/ICSPCC55723.2022.9984589

Yizhou Chen, Junfeng Wang

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引用次数: 0

摘要

提出了一种通过选择ISAR成像回波数来锐化图像的算法。熵用来衡量图像的清晰度:熵越小，清晰度越大。选择回声的数量以最小化图像的熵。在优化中，由上一轮的方位角离散傅里叶变换计算每一轮的方位角离散傅里叶变换。这大大提高了计算效率。现场实测数据表明了该算法的有效性。

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Image Sharpening by Selecting Number of Echoes in ISAR Imaging

An algorithm is developed to sharpen the image by selecting the number of echoes in ISAR imaging. Entropy is used to measure the sharpness of the image: smaller entropy means larger sharpness. The number of echoes is selected to minimize the entropy of the image. In the optimization, the azimuth discrete Fourier transform of each round is computed from the azimuth discrete Fourier transform of last round. This improves the computational efficiency significantly. The results of field data indicate the effectiveness of this algorithm.

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来源期刊

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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