ICESat-2为世界首颗光子计数激光雷达测高卫星，其上携带的ATLAS可获得覆盖全球的高精度激光脚点，有助于提高卫星光学影像的无控定位精度。设计实现了ATLAS激光测高数据与卫星影像的联合平差方案。首先通过多条件筛选准则选取高精度ATLAS激光测高点，然后将筛选后的激光测高点作为带误差控制点进行联合平差计算，使卫星影像定向参数得到了优化。利用河南郑州地区的资源三号02星影像和ATLAS ATL03级数据进行的试验结果表明，文中的平差方案可将影像定位的高程精度提高60.6%，平面精度提高56.4%，验证了文中提出的方法可在无外业控制点情况下显著提高卫星影像定位精度。

ICESat-2 is the first photon-counting lidar altimeter satellite in the world. Its ATLAS can obtain high-precision laser foot points covering the world, which helps to improve the positional accuracy of stereo satellite images without ground control points (GCPs). A joint block adjustment method for spaceborne laser altimetry data and stereo satellite images was designed and implemented. First, a multi-condition filter was proposed to select high-precision ATLAS laser altimetry points, and then the selected ATLAS laser altimetry points were used as control points with error for joint adjustment calculations,so that the satellite images orientation parameters were optimized. Experimental results on the ZY3-02 satellite images and ATLAS ATL03 data of Zhengzhou prove that the proposed method can respectively improve the vertical accuracy and the plane accuracy of stereo satellite images by 60.6% and 56.4%. The experiments discussed above demonstrate that the proposed method can effectively improve the positional accuracy of stereo satellite image without GCPs.