Abstract
A method to utilize three-dimensional point cloud data obtained by using mobile mapping system (MMS) for landscape management of cities is necessary, but still undeveloped. In this paper, we focus on spatial distribution features of reflection intensities included in point cloud data and investigated whether an index on spatial autocorrelation is useful or not for determing the presence of leaves in a tree. In experiments, we modeled the three-dimensional space in the voxel space and calculated the indicators of spatial autocorrelation (Moran's I statistic, Lee's L statistic and indicators decomposed from these) with the mean and (or) standard deviation of reflection intensities for each voxel. As a result of the experiments, Lee's L statistic and indicators decomposed from this, that were calculated with the mean and standard deviation of reflection intensities for each voxel, can be useful for determing the presence of leaves in a tree.
