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As we know, the recognition of lunar terrain is the beginning of the lunar research. Therefore, an accurate and effective automatic recognition of lunar terrain is an integral part of lunar research. This paper has proposed an improved recognition algorithm for lunar terrain based on gushing and immersion. First of all, we identifying the lunar mare area and the highland area with four features used in k-means clustering on CCD image and DEM data. Next, the boundary of lunar mare and lunar highland will be extracted and calculate the average height on DEM image which had match to the CCD image. Then, we use the average value of boundary area as the threshold of gushing algorithm. Finally, the gushing and immersion algorithm will start at the minimal value of lunar mare area. The result will show the classification of lunar terrain. For the testing, the SI and Crisium had been chosen as two typical areas of lunar terrain. This improved algorithm can distinguish the lunar mare and highland automatically. The algorithm shows a better accuracy than other relevant algorithm.

A Lunar Terrain Auto Recognition Algorithm with Adaptive Threshold by Gushing and Immersion