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A practical method of texture segmentation and transformation for radar image simulation

机译:雷达图像仿真的一种实用的纹理分割与变换方法

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It is very important to acquire the material information from the terrain texture for radar image simulation based on digital terrain. This is traditionally done manually in a special terrain-oriented method. The method faces the problems of bad generalization, great complexity, low efficiency and poor accuracy. This paper proposes a new method of terrain texture segmentation and transformation based on the image segmentation theory. Firstly the terrain texture is segmented with a method based on the color space clustering to get the regional gray level image. Then all regions are processed to generate the corresponding binary images, and at the same time an 8-connected region template is constructed to track and build the edges of these regions automatically. Finally the semiautomatic material marking of these regions with the terrain material database for radar realizes the transformation from the terrain texture to the material information. This method effectively deals with the problem of processing the large-scale terrain texture.
机译:从地形纹理中获取材料信息对于基于数字地形的雷达图像仿真非常重要。传统上,这是通过特殊的面向地形的方法手动完成的。该方法存在泛化差,复杂度高,效率低,准确性差的问题。提出了一种基于图像分割理论的地形纹理分割与变换的新方法。首先利用基于色彩空间聚类的方法对地形纹理进行分割,得到区域灰度图像。然后对所有区域进行处理以生成相应的二进制图像,同时构建8个连接的区域模板以自动跟踪和构建这些区域的边缘。最后,利用雷达的地形材料数据库对这些区域进行半自动材料标记,实现了从地形纹理到材料信息的转换。该方法有效地处理了大规模地形纹理的处理问题。

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