Method and system for processing point-cloud data

A system for processing a point-cloud data, generated using reflected pulses based on a remote sensing technique, of a geographical region comprising electrical utility components installed therein, the system comprising:

• a memory configured to store the point-cloud data;
• a graph neural network;
• and
• a processing arrangement in signal communication with the memory and the graph neural network, the processing arrangement configured to:
• split the point-cloud data into a training dataset and a test dataset;
• segment the point-cloud data in the training dataset to define a plurality of point-cloud data tiles, with each of the plurality of point-cloud data tiles comprising the point-cloud data corresponding to an area of a predetermined size of the geographical region point-cloud data tiles;
• sample the plurality of point-cloud data tiles based on one or more predefined classes associated with the electrical utility components, to select the point-cloud data tiles, from the plurality of point-cloud data tiles, comprising at least one data point corresponding to the one or more predefined classes;
• divide each of the selected point-cloud data tiles into a plurality of voxels of a predetermined volume;
• filter a data point from each of the plurality of voxels having a lowest value for corresponding ratio of actual number of pulse returns to total number of pulse returns;
• normalize the point-cloud data tiles with the filtered data points, to reduce number of data points in each of the point-cloud data tiles up to an optimal number;
• and
• implement the normalized point-cloud data tiles in the graph neural network for training thereof, such that the trained graph neural network is utilized for processing of the point-cloud data.