Like many other advanced technologies, it was originally developed by the US military as early as the s. LiDAR technology is used mostly for surveying, for example, in professional applications it is used to make high-resolution maps of geography, geology, seismology, geodesy, archaeology, forestry, etc. Sometimes it is called laser scanning and 3D scanning , with terrestrial, airborne and mobile applications. And, of course it can also be used in everyday life with your own smartphone.
Airborne LiDAR — laser scanning system that is fixed to an aircraft either large like a plane or small like a drone and its light pulses are emitted from the aircraft to the ground measuring distances and dimensions of the landscape. This type of LiDAR is typically used for applications like topographic mapping of forests, scanning the ocean bed and the atmosphere.
Terrestrial LiDAR — a system that works from the ground level and scans objects in several directions with high precision and density while capturing data from all around. Collected data points are then used to identify vehicles , conduct highway and rail surveys or create 3D city models. It is used in applications such as mining, surveying and archaeology. Mobile LiDAR systems are fixed on moving vehicles cars, trains and boats and it allows for acquisition of millions of 3D design points per minute.
This application has also changed the demonstration method of lidar data. Users only need to have an iPad and can perform it anytime and anywhere.
A breakthrough technological development is that this application introduces the concept of enhanced reality, which can directly map point cloud data to the real world. Some of them are very useful for scientific research and decision making. According to different functions, LP provides three different solutions, from quick visualization to some extended product lines, including automatic ground point cloud classification and building space extraction.
These support solves the data challenges of the LiDAR. Advertise About us Contact us. Only LAS 1. Unfortunately, the LAS 1.
You need to obtain this information from the data provider. When a classification is carried out on lidar data, points may fall into more than one category of the classification. Classification flags are used to provide a secondary description or classification for lidar points. With LAS version 1. For example, a lidar return from water may need to be removed from the final output dataset, but it still should remain and be managed in the LAS file as a collected lidar point.
Using LAS version 1. Pointly offers a way to change that into efficient work. Our Partners. Together with our great partners, we realize tailor-made solutions for you. Get all news about our innovative 3D point cloud classification platform straight to your mailbox.
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Key Features. Explore the Pointly benefits. AI-assisted labeling. Using innovative AI approaches, points that belong together can be selected with minimal effort and high accuracy. User-friendly interface.
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