国产光学卫星正射影像产品及自动生成算法  

Digital orthophoto map products and automated generation algorithms of Chinese optical satellites

作　　者：龙腾飞 焦伟利 何国金 王桂周 张兆明 LONG Tengfei;JIAO Weili;HE Guojin;WANG Guizhou;ZHANG Zhaoming(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]中国科学院大学,北京100094

出　　处：《遥感学报》2023年第3期635-650,共16页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:61731022,61701495);中国科学院空天信息创新研究院重点部署项目(编号:E0Z202010F);中国科学院青年创新促进会项目。

摘　　要：正射校正是卫星遥感影像后续处理、分析与应用的必要基础,而目前光学卫星数据自主定位精度尚不能达到1—2像元,正射影像产品的生产仍需依赖地面控制点对成像几何模型进行修正。针对国产光学卫星数据的现状、特点和应用需求,中国遥感卫星地面站自主研发了国产光学卫星正射影像产品和自动正射系统,本文从精细化影像自动配准、成像几何模型优化、影像正射校正、几何不确定度评估、太阳照射和卫星观测角度计算、基于地理格网的影像剖分等方面对相关产品及其自动生成算法进行介绍。其中,基于L1范数约束最小二乘的RPC模型全参数优化方法,可在影像幅宽较大或几何定标精度不足时获得比常规附加像方仿射变换参数的RPC模型更高的校正精度;提出顾及控制点精度的区域网平差方法,在利用从空间分辨率较低的参考影像获取的控制点修正成像几何模型时,可在满足参考影像几何约束的前提下,通过多次观测减小成像几何模型的随机误差、提高影像的几何定位精度;基于不确定度传播理论,建立了正射影像产品逐像元几何不确定度评估方法。试验结果表明,本文算法可用于规模化的正射影像产品生产,分布于全国不同区域的实测检查点表明所生产的16 m分辨率国产高分正射影像产品绝对几何精度可达到2像元以内。Orthorectification is the foundation for the subsequent processing,analysis,and application of satellite remote sensing images.However,the accuracy of the autonomous geo-positioning of the optical satellite data cannot reach 1—2 pixels at present.Ground Control Points(GCPs)are still required for correcting the geometric model to generate Digital Orthophoto Map(DOM)products.This study introduces the DOM products of Chinese optical satellites and automated processing algorithms independently developed by China Remote Sensing Satellite Ground Station.Given the current situation,characteristics,and application requirements of the Chinese optical satellite data,a complete and automated DOM generation algorithm has been developed.It consists of several key steps and techniques,including automated GCP collection via accurate image registration,optimization of image geometry model,image orthorectification,pixel-wise geometric uncertainty estimation,pixel-wise solar irradiation and satellite observation angle calculation,and image division and encoding based on a global or regional geographic grid.(1)Given that the conventional affine transformation correction in the image space for the Rational Polynomical Coefficients(RPC)model cannot achieve satisfactory accuracy when applied to perform a geometric model if the swath width of the image is large or the geometric calibration accuracy is insufficient,a full-parameter optimization method of RPC model based on L1-norm constrained least squares(L1LS)is applied to improve the accuracy of the geometric model.(2)A novel block adjustment method that considers the accuracy of GCPs is proposed.When the GCPs obtained from the reference image with the low spatial resolution are used to correct the geometric model,the random error of the geometric model can be reduced through multiple observations under the premise of meeting the geometric constraints of the reference image,thereby improving the geo-positioning accuracy of the image.(3)Based on uncertainty propagation theory,the pe

关 键 词：正射影像 区域网平差 L1范数 国产卫星 几何不确定度 像元观测角度 地理格网 

分 类 号：P2[天文地球—测绘科学与技术]