摘要
针对地面三维激光扫描强度纠正局限于单站点云强度纠正的问题,提出基于高斯混合模型的直方图匹配方法,对多站点云强度进行纠正。该方法通过拟合距离-强度模型与入射角-强度模型,对单站点云强度值进行纠正。利用高斯混合模型拟合纠正后的单站点云强度直方图,并对直方图进行分割。通过子直方图匹配对多站点云强度进行归一化。实验结果表明,本文提出的方法不仅可以有效纠正单站点云强度值的差异,也可以改善多站点云强度值的差异。
Current point cloud intensity correction is confined to single scan station. In order to solve this problem, we propose a histogram equalization method for multi-scan intensity based on Gaussian mixture model. Firstly, the range-intensity and incidence angle-intensity correction models are used to correct the intensity for a single scan station. Then Gaussian mixture model is used to fit the histogram of intensity distribution after correction and segment the histogram. Finally, normalization of multi-scan intensity is achieved through sub-histogram matching. The experiment results indicate that the proposed method can not only correct the intensity of a single scan station efficiently, but also improve the inconsistence among diifferent scan stations.
出处
《激光与光电子学进展》
CSCD
北大核心
2017年第12期454-463,共10页
Laser & Optoelectronics Progress
基金
国家自然科学基金(41671449)
关键词
遥感
地面三维激光扫描
强度
纠正
高斯混合模型
归一化
remote sensing
terrestrial three-dimensional laser scanning
intensity
correction
Gaussian mixture model
normalization