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

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.