Sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model

• Main Authors: TONG CHUANGMING, PENG PENG, WANG TONG, SONG TAO
• Format: Patent
• Language: Chinese; English
• Published: 07.05.2021
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; TESTING

The invention provides a sea surface SAR image clutter generation method based on an electromagnetic and statistical hybrid model. The method comprises the following specific steps: S1, determining a power spectrum density function of a rough surface, and constructing a sea rough surface model; S2, cutting off the power spectral density function, and calculating a slope probability density function in each surface element; S3, calculating a scattering cross section of each surface element based on geometrical optics and a perturbation model; S4, calculating clutter data of each surface element; and S5, superposing the clutter data of all the surface elements to obtain a final environment SAR image. Accurate texture information of the electromagnetic model is reserved, and the statistical model is simple and efficient. 本发明提出了一种基于电磁与统计混合模型的海面SAR图像杂波生成方法，具体步骤如下：S1：确定粗糙面的功率谱密度函数，构建海洋粗糙面模型；S2：将所述功率谱密度函数进行截断，并计算每个面元内部的斜率概率密度函数；S3：基于几何光学与微扰模型，计算每个面元的散射截面；S4：计算每个面元的杂波数据；S5：将所有面元的杂波数据进行叠加，得到最终环境SAR图像。本发明既保留了电磁模型的准确纹理信