Abstract
Lunar crater is not only the most common geological unit on the surface of the moon, but also an important factor to study lunar surfaces geological age. So how to detect crater accurately is very important. This paper presents an automatic algorithm for detecting middle or small size lunar impact craters which has been proposed in a defined feature space. The algorithm converts the CCD images into feature space images first. Then it will try to find the possible crater areas in feature space images. After those possible crater areas have been found, the edges of potential craters will be fitted, and the crater will be found if the fitting result is satisfied. The new algorithm has been tested in ChangE-1 data; and testing results have shown that more middle and small size craters could be detected by the new algorithm proposed.
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