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Web-based Lidar Data Processing
NEW
RIEGL VZ-2000i
FOR TOPOGRAPHY AND MINING
The use of 3D laser scanning is growing enormously, and the amount of data is growing accordingly. It is becoming increasingly difficult to acquire the in-house technical capability to store, manage and analyse this massive volume of data. The flood of laser scanning data demands more effective tools that have greater automation, lower cost and more accurate results. With the above requirements in mind, GeoSignum has been developing new tools and technologies for automated analysis and interpretation of huge Lidar datasets which can be accessed through its web-based Pointer platform. Because the Pointer platform is cloud-based, users no longer have to worry about storing, accessing, managing and analysing their huge volumes of Lidar datasets. They simply upload their datasets to the Pointer platform and easily access their data through a web browser. http://bit.ly/2zV6gm6
Trees and rooftops in a scanned area.
high-accuracy RIEGL VZ-2000i scan data
Long Range, Very High Speed 3D Laser Scanning System » up to 1.2 million meas./sec – rapid data capture » range up to 2,500 m, 5 mm accuracy – ideally suited for topography and mining » RIEGL Waveform-LiDAR technology – highly informative and accurate data » cloud connectivity via LAN, Wi-Fi and LTE 4G/3G – smart remote scanner control and data upload » automatic on-board registration during data acquisition – tremendous time savings » customizable workflows & special software packages – highest field efficiency » rugged design, fast set-up, user-friendly touch screen – easy to operate even in harsh environments » fully compatible with the RIEGL VMZ Hybrid Mobile Mapping System – for both static and mobile data acquisition Stay connected with RIEGL
www.riegl.com RIEGL LMS GmbH, Austria
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RIEGL USA Inc.
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RIEGL Japan Ltd.
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RIEGL China Ltd.
Machine-learning Point Cloud Classification Pix4Dmapper is an industrial-standard photogrammetry software package that provides accurate 3D reconstruction from overlapping images. Along with the expanding drone market, people are keen to explore new solutions to replace or to complete traditional technologies. Point cloud classification, an iconic feature for Lidar point cloud, is now also being considered by drone surveying professionals. While Lidar provides up to four returns and gives precise and clean 3D points, the quality of photogrammetry points is based mostly on image content. It is more challenging to classify the photogrammetry point cloud than the Lidar point cloud. However, with the advancement of platforms and sensors, image quality has been largely improved and so too have the photogrammetry outputs. http://bit.ly/2zsYv0s
Accurate 3D reconstruction from overlapping images.
international | d ecem ber 2017
07-08-09-11_news.indd 8
01-12-17 13:11