Acceleration of time-consuming operations in case of 3D model creation by utilization of lidar technology and distributed computations

This article is focused on optimization of the processing of large volumes of data sets obtained by LIDAR technology. Data are previously cleansed, transformed into a square grid, which resolution is adaptable to the terrain slope factor. Intermediate interpolated data sets are qualitatively compared by statistical methods and transformed into the form of realistic model of the terrain. In case that the entire process is performed by a single PC, its implementation is limited to the relatively small spatial areas. The size of growing input data gradually reduces the possibility to create 3D terrain model and to be successful, must be handled by means of distributed computing. Implementation of this process is difficult and involves some critical tasks. The most common issues are directed into the area of jobs planning, thread management, optimization of the available hardware resources, solving of critical situations and controlling the data flow throughout the network. Simplification lies in the abstraction of the above mentioned problems. The focus is directed into the programming phase and into the explanation of distributed principles. This article is aimed to prepare the implementation of computationally intensive tasks that are computed by the distributed computations. Proposed distributed solution is based on the principles of Google File System