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Automatic Extraction of Fractures and Their Characteristics in Rock Masses by LIDAR System and the Split-FX Software  

Kim, Chee-Hwan (우석대학교 토목공학과)
Kemeny, John (미국 아리조나 주립대학 자원지질공학과)
Publication Information
Tunnel and Underground Space / v.19, no.1, 2009 , pp. 1-10 More about this Journal
Abstract
Site characterization for structural stability in rock masses mainly involves the collection of joint property data, and in the current practice, much of this data is collected by hand directly at exposed slopes and outcrops. There are many issues with the collection of this data in the field, including issues of safety, slope access, field time, lack of data quantity, reusability of data and human bias. It is shown that information on joint orientation, spacing and roughness in rock masses, can be automatically extracted from LIDAR (light detection and ranging) point floods using the currently available Split-FX point cloud processing software, thereby reducing processing time, safety and human bias issues.
Keywords
LIDAR (Light Detection and Ranging); Automatic rock joint extraction; Joint orientation; Joint spacing and length; Joint roughness;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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