The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Feb 2017)

INTEGRATION OF POINT CLOUDS DATASET FROM DIFFERENT SENSORS

  • C. K. A. F. Che Ku Abdullah,
  • N. Z. S. Baharuddin,
  • M. F. M. Ariff,
  • Z. Majid,
  • C. L. Lau,
  • A. R. Yusoff,
  • K. M. Idris,
  • A. Aspuri

DOI
https://doi.org/10.5194/isprs-archives-XLII-2-W3-9-2017
Journal volume & issue
Vol. XLII-2/W3
pp. 9 – 15

Abstract

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Laser Scanner technology become an option in the process of collecting data nowadays. It is composed of Airborne Laser Scanner (ALS) and Terrestrial Laser Scanner (TLS). ALS like Phoenix AL3-32 can provide accurate information from the viewpoint of rooftop while TLS as Leica C10 can provide complete data for building facade. However if both are integrated, it is able to produce more accurate data. The focus of this study is to integrate both types of data acquisition of ALS and TLS and determine the accuracy of the data obtained. The final results acquired will be used to generate models of three-dimensional (3D) buildings. The scope of this study is focusing on data acquisition of UTM Eco-home through laser scanning methods such as ALS which scanning on the roof and the TLS which scanning on building façade. Both device is used to ensure that no part of the building that are not scanned. In data integration process, both are registered by the selected points among the manmade features which are clearly visible in Cyclone 7.3 software. The accuracy of integrated data is determined based on the accuracy assessment which is carried out using man-made registration methods. The result of integration process can achieve below 0.04m. This integrated data then are used to generate a 3D model of UTM Eco-home building using SketchUp software. In conclusion, the combination of the data acquisition integration between ALS and TLS would produce the accurate integrated data and able to use for generate a 3D model of UTM eco-home. For visualization purposes, the 3D building model which generated is prepared in Level of Detail 3 (LOD3) which recommended by City Geographic Mark-Up Language (CityGML).