基于评价标签的ATLAS控制点筛选方法

ATLAS control pointextraction method based on evaluation label

ICESat GLAS激光测高数据已成为全球高程控制的重要数据源之一。ICESat-2所搭载的激光器先进地形激光高度计系统ATLAS采用光子计数体制,具有极高的灵敏性,能够进一步提高立体测绘的应用能力。由于激光高度计的模式不同,GLAS控制点筛选方法不能直接应用于ICESat-2数据。针对ATLAS数据特点,文中提出一种基于评价标签的ATLAS控制点筛选方法。该方法首先关联ATL03、ATL08内部参数,然后利用ATL03评价标签进行粗筛选,最后利用ATL08评价标签进行精细筛选。选取河南郑州地区12对第五版ATL03、ATL08数据对所提算法进行精度验证,经筛选后控制点的RMSE可提升54.46%。

ICESat GLAS laser allocator data has become one of the important data sources for altitude control in the world.The ATLAS carried by ICESat-2 adopts a photon counting system,which has extremely high sensitivity and can further improve the application ability of stereo mapping.Due to the different modes of the laser altimeter,GLAS control point extraction method cannot be directly applied to ICESat-2 data.Aiming at the above problems,in this paper,we propose a control point extraction method based on evaluation labels.The method first correlates the internal parameters of ATL03 and ATL08,then uses the ATL03 evaluation label for rough screening,and finally uses the ATL08 evaluation label for fine screening.The accuracy of the proposed algorithm is verified by selecting 12 pairs fifth edition ATL03 and ATL08 data in Zhengzhou,Henan Province.After extraction,the RMSE of the control points can be increased by 54.46%.