基于三维视觉的景观空间交错格局重建方法研究

Research on Reconstruction Method of Landscape Spatial Staggered Pattern Based on Three-Dimensional Vision

针对景观空间交错格局重建受到格局特征分布的影响,导致重建精度偏低,以提高景观空间交错格局重建精度为目的,提出了基于三维视觉的景观空间交错格局重建方法。选取斑块类型面积指数、斑块连通度、斑块数量指数及破碎度指数为景观空间交错格局指数进行特征分析,并利用图像库函数将景观空间交错格局的特征点与色彩属性添加到三维视觉重建模型中,建立具有实际色彩的三维视觉重建模型。根据该模型将景观空间交错格局坐标点转化为三维视觉坐标点,优化三维视觉参数,实现景观空间交错格局的重建。试验结果表明:所设计方法不仅可以缩小重建误差,还可以提高景观空间利用率,从而使景观空间交错格局的重建效果大大提高。

Aiming at the impact of the distribution of landscape characteristics on the reconstruction of landscape spatial staggered pattern,which leads to low reconstruction accuracy,a method of landscape spatial staggered pattern reconstruction based on three-dimensional vision is proposed to improve the accuracy of landscape spatial staggered pattern reconstruction.Select the patch type area index,patch connectivity,patch number index and fragmentation index as the landscape spatial staggered pattern index for feature analysis,and use the image library function to add the feature points and color attributes of the landscape spatial staggered pattern to three-dimensional vision in the reconstruction model,a three-dimensional visual reconstruction model with actual colors was established.According to the model,the coordinate points of the landscape space staggered pattern were converted into three-dimensional visual coordinate points,the three-dimensional visual parameters are optimized,and the reconstruction of the landscape space staggered pattern is realized.The test results show that the designed method can not only reduce the reconstruction error,but also improve the landscape space utilization rate,thereby greatly improving the reconstruction effect of the landscape space staggered pattern.