地理信息测绘中栅格图像数据矢量化方法研究  

Research on Vectorization Method of Grid Image Data in Geographic Information Surveying and Mapping

作　　者：丁页 张艺馨 王昕宇 Ding Ye;Zhang Yixin;Wang Xinyu(Shandong Provincial Geo-Mineral Engineering Co.,Ltd.,Jinan,China)

机构地区：[1]山东省地矿工程集团有限公司,山东济南

出　　处：《科学技术创新》2025年第3期29-32,共4页Scientific and Technological Innovation

摘　　要：栅格图像在放大或缩小时容易出现失真现象,影响图像的清晰度和精度,而矢量图像在放大或缩小时不会失真,能够保持图像的清晰度和精度,为此进行地理信息测绘中栅格图像数据矢量化方法研究。首先,对栅格图像数据进行预处理,以消除噪声、平滑图像并提高数据质量;其次,通过特定的算法提取图斑边界,确保边界的准确性和完整性;最后,利用图像位置拟合技术实现矢量化,将栅格图像数据转换为矢量数据格式。实验结果表明:五个实验区域的Hausdorff距离平均降低了约70%,显示出该方法在处理不同地理场景时均具有良好的通用性和稳定性,实际应用价值较高。Raster images are prone to distortion when zoomed in or out,which affects the clarity and accuracy of the image.However,vector images do not deform when zoomed in or out,and can maintain the clarity and accuracy of the image.Therefore,research is conducted on the vectorization method of raster image data in geographic information surveying and mapping.Firstly,preprocess the raster image data to eliminate noise,smooth the image,and improve data quality;Secondly,specific algorithms are used to extract the boundaries of the speckle pattern,ensuring the accuracy and completeness of the boundaries;Finally,using image position fitting technology to achieve vectorization,the raster image data is converted into vector data format.The experimental results show that the Hausdorff distance of the five experimental areas is reduced by an average of about 70%,indicating that this method has good universality and stability in processing different geographical scenes,and has high practical application value.

关 键 词：地理信息测绘 栅格图像数据 栅格图像 图像数据矢量化 图像矢量化 

分 类 号：P208[天文地球—地图制图学与地理信息工程]