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In this paper, we focus on the 3D crater detection problem on lunar surface, which helps high-precision spacecraft landing and rover navigation in moon exploration projects. A random structured forests method is firstly applied to detect the 2D edges of craters, and then dense correspondence between CCD stereo images estimates the elevations of craters. Finally, we propose a 3D crater detection model,...
In this paper, we focus on the shadow problem of the lunar surface, which hinders the implementation of visual tasks and visual processing for moon exploration projects. A random walker model is firstly applied to detect the shadowed pixels in lunar craters. Then, the detected shadows are removed by rectifying the illumination coefficients and detail coefficients, which are obtained by using the multi-scale...
Craters are the most abundant landform on the planet surface, which could provide fundamental clues for planetary science. Due to variations in the terrain, illumination, and scale, it is challenging to detect craters through remote sensing images and it requires an effective crater feature extraction method. In this paper, we address this problem using Gist features, which can provide highly effective...
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