测绘学报 ›› 2014, Vol. 43 ›› Issue (9): 924-930.doi: 10.13485/j.cnki.11-2089.2014.0137

• 学术论文 • 上一篇    下一篇

融合嫦娥一号CCD影像与DEM数据的月球撞击坑自动提取和识别

罗中飞1,康志忠2,刘心怡1,3   

  1. 1. 中国地质大学(北京),土地科学技术学院
    2. 中国地质大学(北京)土地科学技术学院
  • 收稿日期:2013-12-17 修回日期:2014-05-15 出版日期:2014-09-20 发布日期:2014-09-25
  • 通讯作者: 罗中飞 E-mail:214642011@qq.com

The Automatic Extraction and Recognition of Lunar Impact Craters Fusing CCD Images and DEM Data of Chang’e-1

LUOZ Zhongfei,KANG Zhizhong,LIU Xinyi   

  1. 1. China University of Geosciences
  • Received:2013-12-17 Revised:2014-05-15 Online:2014-09-20 Published:2014-09-25
  • Contact: LUOZ Zhongfei E-mail:214642011@qq.com

摘要:

针对现阶段月球撞击坑定量信息提取不足和误提取的问题,本文提出了一种融合CCD影像和DEM数据进行撞击坑的自动提取及识别的算法1在太阳光照下,撞击坑的影像特征满足特定的规律,通过条件匹配在CCD影像中提取撞击坑;(2)DEM中,利用撞击坑坑壁点的坡向值的连续性对影像中误提取的撞击坑进行剔除;(3)在DEM中,利用撞击坑边缘点法向量的突变性,提取撞击坑边缘点并进行拟合,计算撞击坑的参数,通过坑底点云所占比例以及剖面线特征识别撞击坑的类型。经过“嫦娥一号”影像与DEM数据的验证该算法在高纬度月球撞击坑分布均匀的区域应用效果较好

关键词: CCD影像, DEM, 撞击坑, 条件匹配, 坡向, 法向量

Abstract:

As the extraction of lunar craters presently suffer from insufficient quantitative information and mis-extraction, this paper proposes an algorithm of automatic extraction and recognition of lunar impact craters fusing CCD images and DEM data of Chang’e-1. (1) The images of craters comply with specific rules derived from the illumination of sun, therefore the extraction of craters in CCD images is implemented by the matching of corresponding crater feature segments; (2) the mis-extraction of craters in CCD images is then eliminated in terms of  the continuity of the aspects of crater wall, which are computed using DEM data. (3) the edge points of a crater are extracted in the light of the abnormal change between the direction of the  normal vector of an edge point and that of a non-edge point, the parameters of craters are then computed through the fitting of edge points and the types of craters are recognized according to the proportion of points on the bottom and the hatch of craters. The proposed approach is tested on CCD images and DEM data of Chang’e-1. The results show that our proposed algorithm has good performance in the high-latitude areas where the distribution of lunar impact craters is uniform.

Key words: CCD image, DEM, Impact craters, Feature matching, Aspect