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Pre-classification of points and segmentation of urban objects by scan line analysis of airborne LIDAR data

: Hebel, Marcus; Stilla, U.

Fulltext urn:nbn:de:0011-n-1005344 (1.8 MByte PDF)
MD5 Fingerprint: 90edd871d9a9c042eaa23f531eee1e88
Created on: 19.9.2009

International Society for Photogrammetry and Remote Sensing -ISPRS-:
XXI ISPRS Congress 2008. Proceedings of Commission III : 3-11 July 2008 Beijing, China
Beijing, 2008 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 37/Part B3a)
International Society for Photogrammetry and Remote Sensing (ISPRS Congress) <21, 2008, Beijing>
Conference Paper, Electronic Publication
Fraunhofer FOM ( IOSB)
laser scanning; LiDAR; airborne remote sensing; on-line processing; classification; segmentation; urban data

Currently available laser scanners are capable of performing hundreds of thousands of range measurements per second at a range resolution of a few centimeters. Despite that increasing performance, up to now airborne LiDAR mapping has established itself only in fields of application that do not require on-line data processing. A typical example in this context is urban modeling. We want to point out some other tasks like object recognition, situation analysis and on-line change detection that have come into reach of today's LiDAR technology. Primary goal of the work presented in this paper is the on-line data preparation for subsequent analysis. We present a workflow of real-time capable filter operations to detect the ground level and distinguish between clutter and manmade objects in airborne laser scanner data of urban regions. Based on interpretation of single scan lines, straight line segments are first segmented and then connected, and the resulting surfaces are delineated by a polygon. A preliminary step is done towards fast reconstruction of buildings for rapid city-modeling, co-registration or recognition of urban structures.