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一种顾及数据区域的数字正射影像快速镶嵌与优化 被引量:1

Research and Optimization on a Fast Method of Digital Ortho-Image Model Mosaicking Considering Valid Data Area
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摘要 为解决数字正射影像(DOM)镶嵌工作操作繁琐、自动化程度低等问题,提出一种顾及数字正射影像数据区域边界的镶嵌方法,具体步骤为:通过Freeman链码和分段最小二乘法拟合,对单片影像数据边界进行快速提取并矢量化,然后通过这些范围边界进行后续的影像镶嵌。通过空间矢量分析优化镶嵌网络,可有效避免无效背景对镶嵌工作的干扰,并通过算法设计,自动完成镶嵌的完整数据处理。选取某铁路定测项目航飞数字正射影像开展自动镶嵌和调绘片批量制作实验,结果表明,该方法能够有效提高数据处理效率,简化正射数据处理操作步骤,且人为操作工作量极小。 In order to solve problems of digital orthophoto model (DOM) including cumbersome operation and low automation,a method taking into account the true data area boundary of digital orthophoto is proposed.Specifically,Freeman chain code and segmented least squares are adopted to quickly extract and vectorize the boundaries of single candidate image,and then these range boundaries are used to guide subsequent image mosaicking. Optimizing the mosaic network through vector spatial analysis can effectively avoid the interference of invalid background during mosaic work. Complete data processing through algorithm programming of mosaic could be fulfilled automatically. The aerial orthophoto image dataset of a railway is selected to carry out the automatic mosaic and field-annotating-map mass-produced experiment. The results show that this method can significantly improve the data processing efficiency and simplify the data operation procedure which reduce manual operation workload.
作者 王大刚 甘俊 周文明 赵振洋 Wang Dagang;Gan Jun;Zhou Wenming;Zhao Zhenyang(China Railway Design Corporation,Tianjin 300251,China)
出处 《铁道勘察》 2020年第5期1-4,30,共5页 Railway Investigation and Surveying
基金 中国铁路设计集团有限公司科技研究计划重点课题(2020YY240504)。
关键词 DOM边界提取 FREEMAN链码 最小二乘法 快速镶嵌 DOM edge extraction Freeman chain code Least square Fast mosaic
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