Impact crater detection based on regional segmentation using Chang E-l CCD data

摘要：

A regional segmentation based methodology aimed at automated recognition of impact craters on lunar surfaces is presented, and this method performs comparable result using ChangE-1 CCD image. The initial and crucial phase focus on regional segmentation to generate the candidate region, we process the data though, firstly, nonlocal means(NLmeans) filtering for image denoising when attaining more edge information, secondly, edge detection with canny operator, and third, morphological processing to extract the individual region with attribute information. This is followed by the phase of filtration and template matching procedure, in order to remove a certain amount of fictional candidates, and detect the center and estimate the dimensions of the targets. Statistics analysis of the regional attributes is undergo to verify the effect of this algorithm and this algorithm receives good performance at the experimental site of the mare.

关键词： crater detection regional segmentation ChangE-1 CCD image

作者: Kun Li Lingli Mu Jianjun Liu Chunlai Li Kun Li QianqingQin

作者单位: National Astronomical Observatories,Chinese Academy of Sciences,Beijing, China LIESMARS,Wuhan University,Wuhan, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1946-1950

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）