基于FLUS-Markov模型的国土时空一体化实景三维建模OA
Three-dimensional reality modeling of spatiotemporal integration of national land based on FLUS-Markov model
为提高三维实景建模技术的精度,实现对国土资源的精准管理和科学规划,本文基于未来土地利用模拟-马尔可夫(FLUS-Markov)模型,设计了一种国土时空一体化实景三维建模方法.该方法通过栅格数据格式的转换,实现了国土空间栅格尺度的精细化划分,并结合精确的太阳高度角与阴影长度计算,有效提取了阴影与实景特征区域.实验表明,该方法构建的实景三维模型平面精度误差小于1 m,高程精度误差小于0.1 m,显著降低控制点误差.通过统计学检验分析,进一步验证了该方法与对照方法相比,在平面和高程精度上存在显著差异,且本文方法精度更高.此方法的应用不仅显著提升了量化模型的精度,还为国土空间规划、自然资源管理及测绘地理信息行业提供了强有力的技术支持,展现出广泛的应用前景,引领三维建模技术新方向,促进跨学科融合创新.
In order to improve the accuracy of three-dimensional(3D)reality modeling technology and achieve precise man-agement and scientific planning of national land resources,this paper designed a 3D reality modeling method for spatiotempo-ral integration of national land based on the future land use simulation-Markov(FLUS-Markov)model.This method achieved fine division of the national land at a spatial grid scale through the conversion of raster data format and effectively extracted shadow and real-world feature areas by combining the precise calculation of solar elevation angle and shadow length.The experiment shows that the constructed 3D reality model achieves a plane accuracy error of less than 1 m and an elevation accuracy error of less than 0.1 m,significantly reducing control point errors.Through statistical analysis,it is fur-ther verified that there are significant differences in the accuracy of the plane and elevation between this method and the con-trol method,and that the method proposed in this paper has higher accuracy.The application of this method not only signifi-cantly improves the accuracy of quantitative models but also provides strong technical support for spatial planning of national land,natural resource management,and surveying and mapping geographic information industries,demonstrating broad application prospects,leading new directions in 3D modeling technology,and promoting interdisciplinary integration and innovation.
李晋龙
中交第一公路勘察设计研究院有限公司,陕西 西安 710075
天文与地球科学
未来土地利用模拟-马尔可夫模型栅格尺度实景三维建模一体化国土时空
future land use simulation-Markov modelgrid scalethree-dimensional reality modelingintegrationtime and space of national land
《北京测绘》 2026 (2)
176-183,8
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