摘要
提高卫星影像的几何定位精度可以挖掘影像在区域尺度的应用潜力。本文以黑龙江省友谊县及周边区域为研究区,根据地面实测几何控制点,评估高分辨率1号(GF-1)卫星PMS和WFV影像的几何定位精度,并比较手动和自动两种不同几何控制点选取方式的几何校正效果。结论如下:MUX影像、PAN影像和WFV4影像在校正前的平均几何位置偏差为45.06 m,44.60 m和110.26 m,手动几何校正后的平均几何位置偏差为13.97 m,6.35 m和13.56 m,基于哨兵2号(Sentinel-2)影像自动几何校正后的平均几何位置偏差为15.84 m,16.23 m和21.26 m。以上结果可以看出,经过几何校正后很大程度上消除了影像的系统误差,PMS影像通过手动选取地面控制点进行几何校正的效果更优,而WFV影像使用两种校正方法效果相近。
Improving the geometric positioning accuracy of satellite images can enhance the application potential of satellite images in regional scale.In this study,Youyi county of Heilongjiang province and its surrounding areas were taken as the research area.Based on the ground measured geometric control points,the geometric positioning accuracy of the PMS and WFV images of Gaofenbianlv-1(GF-1)satellite was evaluated,and the geometric correction effects of manual and automatic geometric control point selection methods were compared.The conclusion is as follows:The mean geometric position deviation of MUX image,PAN image and WFV4 image before correction is 45.06 m,44.60 m and 110.26 m,and the mean geometric position deviation after manual geometric correction is 13.97 m,6.35 m and 13.56 m.The average geometric position deviation of Sentinel-2 image after automatic geometric correction is 15.84 m,16.23 m and 21.26 m.It can be seen from the above results that systematic errors of images are eliminated to a large extent after geometric correction.The geometric correction effect of PMS images is better by manually selecting ground control points,while the effect of WFV images using two correction methods is similar.
作者
李鑫飚
陈思
郑兴明
陶醉
林楠
LI Xin-biao;CHEN Si;ZHENG Xing-ming;TAO Zui;LIN Nan(School of surveying,mapping and exploration engineering,Jilin Jianzhu university,Changchun 130118,China;Northeast institute of geography and agroecology,Chinese academy of sciences,Changchun 130102,China;Changchun jingyuetan remote sensing experiment station,Chinese academy of sciences,Changchun 130102,China;Aerospace information research,Chinese academy of sciences,Beijing 100094,China)
出处
《吉林建筑大学学报》
CAS
2024年第4期37-44,共8页
Journal of Jilin Jianzhu University
基金
黑土地保护与利用科技创新工程专项资助(XDA28100500)
国家自然科学基金项目(41971323,42201435)
国家民用基础设施陆地观测卫星共性支撑平台(CASPLOS-CCSI)
吉林省教育厅科学技术研究项目(JJKH20220259KJ)
吉林省科技发展计划项目(20210201044GX).