舰船遥感图像非线性畸变自适应校正研究

Research on nonlinear distortion adaptive correction of ship remote sensing image

针对摄像机成像模型受非线性映射导致所获取舰船遥感图像存在的非线性畸变,根据Tsai畸变模型和Brown畸变模型构建改进处理的非线性畸变模型,通过实验场校验法解算非线性畸变模型的校正参数,实现目标坐标的校正处理,采用双线性内差值法对原始舰船遥感图像作重采样处理,获取畸变校正后的舰船遥感图像。实验结果表明:该方法可实现舰船遥感图像的非线性畸变校正,校正后畸变误差均值、畸变百分比较小。

In view of the nonlinear distortion of the ship remote sensing image obtained due to the nonlinear mapping of the camera imaging model, an improved nonlinear distortion model is constructed according to the Tsai distortion model and Brown distortion model. The correction parameters of the nonlinear distortion model are calculated through the experimental field verification method to achieve the correction of the target coordinates. The original ship remote sensing image is resampled using the bilinear internal difference method, Obtain the ship remote sensing image after distortion correction. The experimental results show that this method can realize the nonlinear distortion correction of ship remote sensing images, and the average distortion error and distortion percentage after correction are relatively small.