Charge coupled device（ CCD） and synthetic aperture radar（ SAR） are two typical airborne sensors and key component of scene matching aided navigation system. When sensing image is with considerable distortion

traditional matching algorithm based on Hausdorff distance feature points has very low precision

by introducing multi-scale auto-convolution（ MSA）

which has affine invariant feature

is combined with scale invariant feature transform（ SIFT） features by serial combination strategy to form a more robust matching algorithm. Simulation experiments is carried out on acquired by images CCD and SAR sensor

the result shows the proposed algorithm can efficiently resist the distortion of sensing image and matching precision is improved obviously.