多传感器月面障碍模糊识别方法  

Multi-Sensor Based lunar Surface Hazards Fuzzy Detecting Method

作　　者：姜肖楠[1] 韩诚山[1] 李祥之[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033

出　　处：《计算机仿真》2013年第4期97-102,124,共7页Computer Simulation

基　　金：国家自然科学基金重点项目(60535010)

摘　　要：研究月球软着陆中的月面障碍识别问题,针对激光雷达主动成像与CCD被动成像的多传感器信息融合,提出了一种基于模糊逻辑的智能决策方法。为使探测器能够自主识别安全着陆区域,激光成像雷达仿真中,使用最小平方中位数法计算月面地形坡度,通过阈值分割识别符合探测器软着陆地形要求的月面区域;同时,使用纹理分析为依据的月面障碍被动成像算法快速识别星球表面图像中的危险区域。仿真结果表明,在主、被动成像信息融合基础上提出的模糊逻辑决策方法,通过合理的设置隶属度函数,不仅能够识别出适合着陆的区域,同时能够获得适合月表巡视勘察的地形信息。In order to fuse information from active imaging light detection and ranging （LIDAR） and passive CCD imaging, a fuzzy logical decision method was proposed. In order to make lunar detector independently indentify safe landing area, in the simulation of LIDAR, the least squares median method was used to calculate the lunar terrain slope, and identification for soft landing area was accomplished by threshold segmentation. In the mean time, hazard area on the lunar surface was detected by a texture analysis algorithm. On the fusion of active and passive imaging in- formation, a fuzzy logical decision method was proposed. Simulation results show that, with a reasonable setting of membership functions, not only the identification of suitable landing area can be reached, but also the lunar surface suitable for further inspecting can be obtained at the same time.

关 键 词：激光成像雷达 障碍识别 模糊融合决策 

分 类 号：V417.6[航空宇航科学与技术—航空宇航推进理论与工程]