An algorithm of terrain hazard assessment for planetary soft landing

An algorithm of terrain hazard assessment for soft landing based on information fusion is presented.Firstly,two types of terrain features are extracted from the gray images of landing navigation camera and the elevation data of Lidar respectively.Then,fuzzy variables and membership functions on terrain features are presented,and local terrain hazard assessments are realized by fuzzy inference.Finally,the global terrain hazard is assessed based on the decision-class fusion of weighted means,and the safe landing sites are obviously showed.The simulation experiments using 3D digital terrain image have validated the proposed algorithm effectively.