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Paper Information

Journal:   JOURNAL OF GIS.RS. APPLICATION IN PLANNING   SPRING 2011 , Volume 2 , Number 3; Page(s) 35 To 44.
 
Paper: 

EVALUATING QUALITY CONTROL OF LIDAR POINT CLOUD BASED ON GEOMETRIC CALIBRATION

 
 
Author(s):  SAADATSERESHT MOHAMMAD, GHORBANI FOULADI YASIN
 
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Abstract: 

Today, LiDAR systems are used as a common technology to extract three-dimensional information which provide the possibility of fast and accurate generation of surface models. In LiDAR data correction process, systematic errors must be modeled based on LiDAR system calibration. Calibration process improves systematic errors by using LiDAR equation and raw measurements of GPS, the INS and laser scanner. Considering the impact of the calibration on the results optimal flight planning can be designed and by evaluating the compatibility degree between the footprints in overlapping strips, data quality control can be estimated. This paper suggests an approach for the quality control of the LiDAR point cloud. To evaluate the quality control the proposed method includes three steps: Primitives Extraction and Matching, Similarity Measure, Noise Level Verification. Finally, the results of each step are evaluated with an experimental test.

 
Keyword(s): SYSTEMATIC ERRORS, LASER UNIT, LIDAR SYSTEM CALIBRATION, FLIGHT PLANNING, QUALITY CONTROL
 
References: 
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