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

机译:雷达图像仿真纹理分割和变换的实用方法

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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:从数字地形获取来自地形纹理的材料信息非常重要。这传统上以特殊的地形为导向的方法手动完成。该方法面临着不良泛化,复杂性,效率低,准确性差的问题。本文提出了一种新的基于图像分割理论的地形纹理分割和转换方法。首先,基于颜色空间聚类的方法将地形纹理分段为获取区域灰度级图像。然后,处理所有区域以生成相应的二进制图像,同时构造8个连接的区域模板以自动地跟踪和构建这些区域的边缘。最后,使用地形材料数据库进行雷达的半自动材料标记,实现了从地形纹理到材料信息的转变。该方法有效地处理了处理大规模地形纹理的问题。

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