结合边缘信息优化LSC和改进A星算法的正射影像图镶嵌线提取
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国网辽宁省电力有限公司经济技术研究院 辽宁 沈阳

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TP391

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国网辽宁省电力有限公司经济技术研究院科技项目“基于航测影像技术的三维地理信息数据统一标准研究”(编号:SGLNJY00SJJS2100060)


Mosaic line extraction of Orthophoto Image Based on optimized LSC and improved A-star algorithm combined with edge information
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State Grid Liaoning Electric Power Company Limited Economic Research Institute

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    摘要:

    为避免正射影像图在镶嵌时,镶嵌线穿过视觉显著地物,损害影像中地物的完整性。本文提出结合边缘信息优化LSC和改进A星算法的正射影像图镶嵌线提取方法。首先,将经典线性谱聚类(Linear spectral clustering algorithm ,LSC)的超像素分割理论引入正射影像图镶嵌线提取算法中,并提出边缘强度因子用以优化经典线性谱聚类算法,有效利用正射影像图中的光谱信息和边缘信息;然后,将优化后的线性谱聚类算法分别应用于两幅正射影像的重叠数据集,得到各类地物的边界特征图。通过数学形态学法去除边界特征图中的边缘不整齐现象和孤立噪点;最后改进传统A星算法,由曼哈顿距离函数替代原有基于欧式距离测度的启发函数,提升A星算法进行最短路径搜索的效率,在边界特征图中快速搜索出最短路径得到最优镶嵌线。利用真实无人机航拍正射影像图将本文方法与相关方法进行对比分析,实验结果表明本文所提方法可高效、高质量的提取到影像镶嵌线,有效地绕过了视觉显著地物,减少了镶嵌线穿过地物的像元点数,满足实际正射影像图制作的应用需求。

    Abstract:

    In order to prevent the mosaic line from passing through the visually significant features when the orthophoto map is mosaic, and damage the integrity of the features in the image. In this paper, a mosaic line extraction method for orthophoto images is proposed, which combines edge information optimization LSC and improved A-star algorithm. Firstly, the super-pixel segmentation theory of linear spectral clustering algorithm (LSC) is introduced into the mosaic line extraction algorithm of orthophoto images. The classical linear spectral clustering algorithm is optimized by using edge intensity factor to effectively use the spectral information and edge information in orthophoto images. Secondly, the improved linear spectral clustering algorithm is applied to the overlapping areas of two orthophoto images to obtain the boundary feature maps of various ground objects; Then, the edge irregularity and isolated noise in the boundary feature map are removed by mathematical morphology; Finally, the improved A-star algorithm is used to search the shortest path in the boundary map to quickly obtain the optimal image mosaic line. This method is compared with related methods by using the aerial orthophoto Image of a real UAV, The results show that the proposed method can extract mosaic lines efficiently and with high quality. It effectively bypasses the visual salient features and meets the application requirements of the actual orthophoto map making.

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  • 收稿日期:2022-06-17
  • 最后修改日期:2022-07-05
  • 录用日期:2022-07-12
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