Análisis Iterativo Comparado, para la Obtención de Parámetros Óptimos en la Clasificación de Nubes de Puntos Lidar con los Sensores Riegl VQ 580 Análisis iterativo comparado, para la obtención de parámetros óptimos en la clasificación de nubes de puntos Lidar con los sensores RIEGLvq 580 y Leica als70 y Leica ALS70

Abstract

In this document was done a verification of information obtained from the data of two airborne topographical sensors LiDAR , Rigel VQ 580 y Leica ALS70,with which were obtained four point clouds in the same area, with which comparisons were made of land classification in a determinate area, with low and high density conditions of vegetation as well as steep slopes for this it was taken as reference a manually classified point cloud taken with Rigel VQ 580 sensor, as their characteristics let describe the area in more detail. Point cloud that was compared with the result of classification applied to the three remaining point clouds through five macros whose parameters were changed respectively, resulting in a point cloud with higher density of points classified whose characteristics meet the validation methods and statistics that will be displayed during the methodological development. To analyze the behavior of clouds of points, it was made a dimension control where descriptive geometric of data are shown, else digital models comparison of area were made (MDT) doing use of Global Mapper software in which were applied bicubic interpolation methods that allow to see graphically the clouds of points whose points were found below or above 1m, from the results obtained, it can be established technically that the modeling generated represents with less degree the uncertainty in the area.