相干算法提取嫦娥数据月表地质特征

Extraction of Lunar Surface Geological Features with Chang'e-1 Data Using Coherent Algorithm

经典的边缘提取算法可从月球影像数据中提取出月表的构造特征,但难以提取出与月貌有关的特征信息.本文提出的相干法月球影像地质特征提取技术,其基本思想是基于相干运算来考察图像上像素或像素组之间的相似性,以获取月表的构造特征和月貌特征.该方法已经应用在嫦娥一号月球探测器获取的部分影像数据上,相比于几种常规的边缘提取方法,本方法优势明显,不仅能有效地提取环形构造和线性构造等地质特征,还可以很好地提取月貌特征,对具有一定规模的小直径撞击坑的识别也有不错的效果.该方法可以用于计算机自动识别或辅助手工解译月表构造,划分月貌单元等研究.

The classical edge extracting algorithms in the image processing can extract lunar surface geological features,but can not extract texture features of lunar terrain from Chang＇e-1 image data.This paper suggests a method of coherent algorithm to extract the lunar surface geological features with Chang＇e-1 data,which is based on coherent calculation of signals in digital signal processing transplanted into image processing for lunar data.We processed some Chang＇e-1 image data by using coherent calculation which involves calculating the similarity between pixels or pixel groups.By comparing several classical algorithms with our algorithm,the effectiveness of this method is demonstrated.The coherent algorithm can extract linear and circular geological structure features as well as the texture features of lunar terrain from Chang＇e-1 lunar image at the same time.And it is also able to identify the small-diameter craters.So the method can be applied to computer-driven automatic recognition of lunar structures and landforms for evolution analysis of the moon.