Searching safe landing site with parameters optimization based on genetic algorithm

This paper proposes a method to search safe landing site using dual-threshold image segmentation algorithm for Chang'e-3 when the digital elevation map is obtained. Aiming at meeting the need of security, the probe ought to choose a flat ground to land at. Thus an improved dual-threshold image segmentation algorithm is proposed to deal with the shadowed and light split regions of obstacles respectively. At the same time, genetic algorithm is used to optimize its parameters, and the image sampling is also used to improve the efficiency of the algorithm. In order to identify candidate safe landing areas, a search method based on the maximum blank squares is applied in the processed image. Experimental results show that the proposed method has a strong ability of recognizing obstacles and searching flat ground, and is conductive to real-time space exploration mission.