Leica HxMap Core LiDAR
Point cloud processing & calibration for Leica HxMap unified multisensor workflow
The HxMap Core LiDAR point cloud module supports all functions and tools for LiDAR 3D visualisation, data improvement and data quality control. The point cloud can be visualised in different ways, for example colourised by elevation, intensity, flight line, RGB, CIR, forward backward scan, return number or class.
The data can be visualised in full 3D and/or in cross cuts for QC of overlapping flight lines and forward backward scan. The measurement tools measure distances between points in both 2D and 3D view cross cuts. The points can be manually cleaned or filtered and classes in accordance to LAS standard 1.2 and 1.4 formats can be turned on and off.
A fully automatic QC tool is included for all quality assurance. The automatic QC tool, compares flight line overlaps (or cross lines) in a point to plane distance, and extracts a LiDAR QC report consisting of a colour coded KMZ plot that can be imported into Google Earth, and a LiDAR QC report extracted as an HTML file including the LiDAR plots and QC statistics.
In the colour coded QC plots, the LiDAR data is visualiaed from green over yellow and red, where green means great accuracy, yellow means accuracy still within specifications, and red means data out of specification. The levels for the different colour codes can be specified by the user user, with standard setting at 3 cm for green, 5 cm for yellow and 5 - 10 cm for red.
Further, the LiDAR point cloud module includes a tool for LiDAR registration (matching) to improve accuracy. In the LiDAR registration tool, the accuracy of the flight trajectory is improved by matching forward/backward scan and overlapping flights lines in the LiDAR data. The level of improvement is dependent on the distance to the GPS base stations during survey, but typically it is possible to see an improvement from 70% of the data within 3 cm to >90% of the data within 3 cm in the LiDAR QC tool after registration.
Further functions in the HxMap Core LiDAR point cloud module include point density measurement, tools for provision of daily coverage plots, and other functions used in the project’s day to day reporting.
The HxMap LiDAR allows to fully calibrate the system after a new installation, or when needed. The one button one click solution calibrates boresight angles, and a number of internal parameters in the sensor model, to achieve the highest accuracy. A special calibration flight is flown in accordance to a set procedure from two different altitudes.
From that data, the calibration algorithm minimises the point to plane distances between different flight lines by automatically adjusting the sensor model. A report is generated including the calibration parameters and calibration quality. The calibration doesn’t use ground control points, but the control points can be integrated for QC.
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