基于CASS的地形粗差探测方法研究  

Research on terrain gross error detection method based on CASS

作　　者：杨周行 刘晓庆 YANG Zhouxing;LIU Xiaoqing(Jiangsu Geological Surveying and Mapping Institute,Nanjing,Jiangsu 211102,China)

机构地区：[1]江苏省地质测绘院,江苏南京211102

出　　处：《测绘技术装备》2025年第1期45-50,共6页Geomatics Technology and Equipment

摘　　要：为了解决测量过程中可能出现的数据精度低、准确性差等问题,本文提出了一种基于CASS的地形粗差探测方法,即将地形数据导入专门用于数字化测绘工作的CASS软件中,利用CAD命令生成能够捕捉地形细节的数字高程模型(DEM),对DEM进行分块处理,并应用地形拟合技术进行粗差探测。在粗差探测过程中,采用抗差估计方法来排除可能存在的异常值,以提高粗差探测效率。结果表明,使用该方法剔除粗差后,拟合面线条变得平顺,更加贴近真实地形数据。此外,剔除粗差后的山地地形等高线地图与原图几乎完全一致。经过实际应用,在平原、丘陵和山地等不同地形数据上,该方法都表现出较高的粗差探测效率。In order to solve the problems of poor data accuracy that may occurred during the measure‐ment process,a terrain gross error detection method based on CASS is proposed in this paper.Specifi‐cally,terrain data was imported into CASS software specifically designed for digital surveying and mapping works,and CAD commands were used to generate a digital elevation model(DEM)that can capture terrain details,and then the DEM was blocked and the terrain fitting technology was applied to detect gross errors.In the process of gross error detection,robust estimation methods are used to elimi‐nate possible outliers and improve the efficiency.The results show that the fitted surface lines become smoother and closer to the real terrain data after using this method.Moreover,the contour map of moun‐tainous terrain after eliminating outliers is almost identical to the original map.The mentioned method has shown high efficiency in detecting gross errors on different terrain data such as plains,hills,and mountains in practical applications.

关 键 词：CASS 粗差探测 抗差估计 地形观测 

分 类 号：P623[天文地球—地质矿产勘探]