Feature extraction of LiDAR power line classification for transmission line management based on spatial topological structure and characteristics.
Inspection of the transmission lines in order to detect and eliminate the hidden risks was the motto of Polosoft Technologies when it laid the foundation of its LiDAR classification and Vectorization wing. The above being the important task for any urban or rural power supply management, vectorization and scientific planning.
Collection of high precision 3D point data of the power line corridor mapping is done effortlessly with airborne and mobile LiDAR data. Power lines can be really close to the vegetation or building and infrastructure which can make the airborne lidar data volume large, making it a tedious task to extract the power line points accurately and quickly from the LiDAR point cloud classification. Therefore our research and development in rapid automated methods for data extraction of power lines from airborne lidar point cloud data is a critical topic.
Before Polosoft Technologies took the charge of the Powerline classification the so used conventional methods:
By projecting the airborne LiDAR point clouds of the transmission corridor onto the horizontal plane. The surface points denote the ground vegetations, housing and other mixed points to which add the surface powerline points and tower points.
The core of any power line safety detection, and the operation regulations for overhead transmission lines requires the line inspection to ensure that the distance from the power line to the corridor with various features meets the safety distance requirements.
Data produced by LiDAR after using laser light to densely sample the surface of the earth, producing highly accurate x,y,z measurements. LiDAR produces mass point cloud data points that can be often managed, visualized, analyzed and shared.
LiDAR points are classified into a number of categories which includes the bare earth or ground, the very top of canopy and surface of water and below. The varied classes are defined using numeric integer codes in the LAS files.
Normally the accuracy is expressed as a calculation of ± 2cm or as the standard deviation such as 3cm to 1σ (sigma). LiDAR system determines the accuracy of multiple sensor measurements to the same cloud point then comparing it with the real world.
The most important aspect of a project is the time frame in which the work is delivered. Dedicated teams analyse the given data and deep seeded information for the perfect implementation of the project as a whole.
We designed the methodology with our years of experience and skills for the point cloud classification and based it on multi-scale features. Our salient features be:
Polosoft offers Powerline Classification And Vectorization to develop high-level productivity.
Starting of the early phase of sprint.
The marking of the ideas on the plane.
Implementing the ideas into process.
Keep a close check on the working of each sprint.
Combining each sprint to turn a project idea into a working product.
We at Polosoft technologies work at par with the government guidelines laid down for Powerline classification and vectorization. Providing cost efficient and all round LiDAR service. Years of experience and tons of LiDAR data processing makes us one of the prominent names in the list of LiDAR companies. If analysis of the airborne or mobile LiDAR data analysis is something you are searching for then your search ends here.