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传统的LIDAR滤波算法均基于三维坐标资料,具有一定局限性。文章研究目的在于对所选LIDAR扫描区域进行梯度和反射强度的相关性试验,探讨可否将两者融合以提高LIDAR资料的质量。根据融合的理论,若要2组LIDAR资料进行融合,必须首先找出它们之间的互补性,也就是希望两者相关性要低。只有这样,分析反射光强能否帮助LIDAR数据进行分割才有意义。文章通过试验分析,验证了上述原理的可行性。
Traditional LIDAR filtering algorithms are based on three-dimensional coordinate data, has some limitations. The purpose of this study is to test the correlation between gradient and reflection intensity in the selected LIDAR scan region and to explore whether the fusion of the two can be used to improve the quality of LIDAR data. According to the fusion theory, if two groups of LIDAR data are to be fused, the complementarity between them must be found first, that is, the correlation between them needs to be low. Only then does it make sense to analyze whether the reflected light intensity helps to segment the LIDAR data. Through experimental analysis, the article verifies the feasibility of the above principle.