Abstract
In order to solve the problem of selecting lunar soft landing spot, this study doped out a solution to the problem. Collect images of the lunar surface and analyze them. According to the fact that the speed and accuracy of selecting lunar soft landing spot are highly required in the field of aviation, this study proposed circle pit recognition method based on Multi-level de-noising Hough transform. In this method, do halved sampling process repeatedly on the original images in order to get a set of variable resolution image of pyramid like. Search the circle pit position in the lowest resolution image roughly. And then refine soft landing point in the high resolution images in order to get the lunar circle pit position accurately. Do experiments using the images of the lunar surface which were collected by Chang 'e-3. What's more, selecting the appropriate landing point selection mechanism to select a soft landing point and verify results. After doing all of these, compare this method with five kinds of traditional methods. The experimental results shows the method which is proposed in this study effectively improves the speed and accuracy of Hough transform circle detection, with strong robustness and high efficiency, so as to improve the speed and accuracy of selected lunar soft landing point.
Highlights
Lunar soft landing point selection, related to the success of lunar soft landing, is an important part of the process of satellite landing
The system inside of the satellite analyses accurately identify the circle pit obstacles through collecting images of the lunar surface and choose the appropriate landing site selection mechanism to choose a soft landing point, the identification of circle pit location become the key problems in the process of a soft landing
Talking account of the surface of the lunar circle pits in the images are a series of the regular circle, the selection of lunar soft landing point becomes the problem of circle location information in image and choosing a soft landing point through the appropriate mechanism
Summary
Lunar soft landing point selection, related to the success of lunar soft landing, is an important part of the process of satellite landing. This paper will list a method which is to identify circle based on multi-level denoising Hough transform, in order to solve the problem of the selection of lunar soft landing point. Refine the soft landing point in the high resolution image and get the accurate position information of circle pit on the surface of the lunar. Step 2: Using the classical Hough transform to do Hough recognition on the lowest resolution image and the rough position information of the circle pit on the surface of the lunar will be obtained. Identify the circle pit position information again in the higher resolution image and remove the interference position information points of the circle pits with denoising algorithm In this case, the recognition speed of Hough transform is accelerated as the interval range of the searching point is smaller. L is the shortest distance between the optimal landing point and the circle pit edge, aimed at avoiding the peak at the circle pit edge
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