一种新的舰船ISAR图像预处理方法

2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2016-08-01 DOI:10.1109/ICEICT.2016.7879696

S. Shang, Ming Li, Yingni Hou, Li Chen, Yuhao Yang, Jun Sun

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引用次数: 0

摘要

图像预处理是ISAR图像舰船目标识别的关键步骤，包括散斑噪声抑制和条纹噪声抑制。本文提出了一种散斑噪声预处理和条纹噪声抑制方法。对于散斑噪声估计，基于瑞利分布假设生成自适应初始阈值，根据ISAR图像背景区域的最大灰度值和梯度值计算第二分割阈值。对于条纹噪声的估计，在舰船目标与条纹噪声的交叉区域采用非线性压缩方法。实验结果表明，该方法不仅能有效地抑制散斑噪声和条纹噪声，还能消除舰船目标周围较强的噪声点。

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A novel method of ISAR image pre-processing for ship

Image pre-processing is the critical step in the ship target identification of ISAR images, which consists of speckle noise suppression and stripe noise suppression. In this paper, a pre-processing method of speckle noise and stripe noise suppression is proposed. For speckle noise estimation, an adaptive initial threshold is generated based on hypothesis of Rayleigh distribution, and the second segmentation threshold is calculated by the maximum gray value and gradient value in background region of ISAR image. For stripe noise estimation, a nonlinear compression method is used in the cross region of ship targets and stripe noise. In the experiments, the pre-processing results demonstrate the proposed method can not only suppress the speckle noise and stripe noise effectively, but also eliminate stronger noise points around the ship target.

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2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

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