针对光度曲线的特点将光谱领域曲线匹配算法应用至光度学领域，解决了基于光度曲线特征规律卫星形状反演方法的算法需求。介绍了反演方法的主要原理，通过融合角匹配(SAM)算法和信息散度(SID)算法，设计了联合信息匹配(SAM-SID)算法，确定了阈值，使曲线匹配的成功率大于93%。最后利用兴隆观测站的实测数据验证了算法的适用性与稳健性。实验结果表明，SAM-SID算法成功匹配出了SAM算法和SID算法都未能匹配出的圆柱体卫星，适用于球体、圆柱体以及立方体卫星的形状反演，且较SAM算法和SID算法结果更加直观，适用性和稳健性更强。

According to the characteristic of the photometric curve, the curve matching algorithm in spectral domain is applied to the field of photometry and the demand of satellite shape inversion matching algorithm based on the photometric curve characteristic is resolved. The main principle of inversion method is introduced, the spectral angle match-spectral information divergence (SAM-SID) is designed through SAM and SID, and the threshold is confirmed, making the success rate better than 93%. Finally, the applicability and robustness of the algorithm is tested by the measured data of Xinglong Station. Experimental results show that the cylinder satellite inversion data, which can not be matched by SAM and SID algorithms, can be matched by the SAM-SID algorithm. The SAM-SID algorithm is applicable to the shape inversion of the cylinder, cube and sphere satellites. Compared with SAM and SID algorithms, the results of SAM-SID algorithm are more intuitive, and the applicability and robustness are much stronger.