基于多源数据融合的矿山地形图测绘方法研究

Research on Mine Topographic Map Surveying and Mapping Method Based on Multi-source Data Fusion

随着技术的进步,多源数据融合技术在地形图测绘领域得到了广泛应用。在矿山地形图测绘中,不同的数据源能提供不同角度的地形信息,有效融合这些数据,可以极大提高地形图的准确性和可靠性。数据融合主要包括像素级融合、特征级融合和决策级融合,每种方法适合不同的需求和数据特性,具有独特的优势。文中系统地研究了多源数据融合在矿山地形图测绘中的应用,详细探讨了多源数据融合的基本理论,特别是像素级、特征级和决策级融合技术,并构建了一个完整的测绘流程来应用这些技术。

With the advancement of technology,multi-source data fusion technology has been widely used in the field of topographic map mapping.In mine topographic map mapping,different data sources can provide topographic information from different angles,and effective fusion of these data can greatly improve the accuracy and reliability of topographic maps.Data fusion mainly includes pixel-level fusion,feature-level fusion and decision-level fusion.Each method is suitable for different needs and data characteristics,and has unique advantages.This paper systematically studies the application of multi-source data fusion in mine topographic map mapping,discusses the basic theory of multi-source data fusion in detail,especially pixel-level,feature-level and decision-level fusion technologies,and builds a complete surveying and mapping process to apply these technologies.