In view of the significant progress of deep learning in the field of image recognition,in the background of unmanned helicopter autonomous landing,SSD network is adopted to identify the landing mark for the complex landing environment and landing mark design.Aiming at the disadvantage of low recognition rate of small targets in SSD network,SSD network is improved based on deep residual network and feature pyramid network structure,and the ResNet101 is used instead of VGG-16 network,the traditional up-sampling structure is improved by using feature pyramid network structure,which integrates the high-level semantic information of the detection network into the low-level feature information.Finally,the recognition effect of the improved network is verified via experiments.