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Correction of Erroneous Model Key Points Extracted from Segmented Laser Scanner Data and Accuracy Evaluation
Correction of Erroneous Model Key Points Extracted from Segmented Laser Scanner Data and Accuracy Evaluation
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 2013. Dec, 31(6_2): 611-623
  • Received : December 04, 2013
  • Published : December 31, 2013
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Yoo Eun Jin
Park So Young
Yom Jae-Hong
Lee Dong-Cheon

Abstract
Point cloud data (i.e., LiDAR; Light Detection and Ranging) collected by Airborne Laser Scanner (ALS) system is one of the major sources for surface reconstruction including DEM generation, topographic mapping and object modeling. Recently, demand and requirement of the accurate and realistic Digital Building Model (DBM) increase for geospatial platforms and spatial data infrastructure. The main issues in the object modeling such as building and city modeling are efficiency of the methodology and quality of the final products. Efficiency and quality are associated with automation and accuracy, respectively. However, these two factors are often opposite each other. This paper aims to introduce correction scheme of incorrectly determined Model Key Points (MKPs) regardless of the segmentation method. Planimetric and height locations of the MKPs were refined by surface patch fitting based on the Least-Squares Solution (LESS). The proposed methods were applied to the synthetic and real LiDAR data. Finally, the results were analyzed by comparing adjusted MKPs with the true building model data.
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