Analysis of Elevation Precision for Small Baseline Stereovision
Aiming at the optimal problem of selecting the ratio of baseline to satellite altitude in stereovision, a novel elevation precision model which is considering occlusion is proposed. The model is obtained through calculating the average elevation error of occlusion image areas and no-occlusion image areas. The elevation error in the no-occlusion areas can be represented through maximizing a local similarity coefficient. And the elevation error in the occlusion image areas can be estimated through averaging a certain point elevation. This model use is not only to select the optimal ratio, but also to analyze error sources from three dimensional characteristics of ground objects, the noise level of imaging system, and stereo-matching algorithms. The simulation experiment and the physical camera experiment all proof that there was an optimal B/H value in the small baseline stereovision. The optimal B/H values were respectively 0.1 and 0.03. The simulation experimental results represent that the higher the height of the highest building was, the bigger the elevation error was. This regularity also tallied with the precision model.
KeywordsSmall baseline Elevation precision Stereovision No-occlusion and occlusion areas Error sources Optimal ratio
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