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Automatic correction of distorted aerial images and extraction of multiangular information

机译:自动校正扭曲的空中图像和多边信息的提取

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The extraction of multiangular information can be used in the field of inversion and ground target classification, etc. A method has been developed to correct distorted images based on obtaining registered data. We designed a series of steps to extract enough registration control point pairs. The distribution of control point pairs is homogeneous for the mapping function. Based on gray-valued corner detection the interest points can be extracted automatically. Then the interest points are matched for generation of RCP. The technology of local surface spline fitting is employed for solving the problem of correction of distorted images. In our study we use Advanced Solid-State Array Spectroradiometer (ASAS) airborne simulated images, Polarization and Directionality of Earth Reflectances (POLDER) airborne simulated images and the wide-angle airborne images of IRSA, CAS. The results show that the distorted images can be corrected automatically with high accuracy.
机译:多边信息的提取可以在反演和地面目标分类场中使用。已经开发了一种方法以基于获取注册数据来校正扭曲的图像。我们设计了一系列步骤来提取足够的登记控制点对。对照点对的分布对映射功能均匀。基于灰度角检测,可以自动提取兴趣点。然后符合兴趣点以产生RCP。用局部表面花键配件技术来解决扭曲图像的校正问题。在我们的研究中,我们使用先进的固态阵列分光镜(ASA)空气传播的模拟图像,地球反射的极化和方向性(圩田)空气传播的模拟图像和IRSA,CAS的广角空气传播图像。结果表明,扭曲的图像可以高精度自动校正。

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