基于阈值分割的探测器软着陆区的选择方法  

Selection Method of Detector Soft Landing Area Based on Threshold Segmentation

作　　者：王浩杰[1] 赵珂[1] 和丽芳[1] 王伟平[1] 

机构地区：[1]昆明理工大学城市学院,昆明650051

出　　处：《价值工程》2016年第23期228-230,共3页Value Engineering

基　　金：国家自然基金(51204077)

摘　　要：针对深空探测工程中探测器软着陆区选择的问题,本文以降落月球虹湾区为例,介绍了一种快速实现探测器软着陆区选择的方法。首先,对探测器到达预订轨道后的拍摄图像进行增强处理,得到适合分析的图像;其次进行基于Otus的阈值分割;最后,将图像进行分块,计算每块图像的安全着陆指数,根据安全着陆指数选择着陆区域,选择备降区域。通过对2400m高程图中陨石坑障碍进行了模拟,结果表明:该方法能为着陆器快速有效的选取安全着陆区域。For the problem of choosing the detector safe landing area in the deep space exploration program, relying on the computer vision based image recognition technology, the paper is based on the landing on the moon rainbow bay area as an example. It describes a method for the rapid realization of detectors safe landing area selection. First, enhancing the captured images and getting a image to analysis after reaching the reserved orbit. Second, having the threshold segmentation based on the Otus. Finally, breaking up the image, calculating the safe landing Index of the every image, choosing a landing area according to the safety land index and selecting an alternate area. By simulating the crater obstacle in the 2400m elevation map, it shows that this method can chose a safe landing area rapidly and effectively.

关 键 词：着陆点选择 Otus阈值分割 螺旋搜索 避障技术 

分 类 号：V476[航空宇航科学与技术—飞行器设计]