Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne Lidar Data
UCGE Reports
Number 20187
Department of Geomatics Engineering
Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne Lidar Data
(URL: http://www.geomatics.ucalgary.ca/links/GradTheses.html)
by
Yong Hu October 2003
THE UNIVERSITY OF CALGARY
Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne Lidar Data
by YONG HU
A DISSERTATION SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
DEPARTMENT OF GEOMATICS ENGINEERING
CALGARY, ALBERTA OCTOBER, 2003
© YONG HU 2003
· ii ·
ABSTRACT Airborne lidar has become a commercially viable remote sensing platform, and can provide accurate elevation data about both topographic surfaces and non-terrain objects. Its capability of mapping topography and 3-D models of civil objects is uncommon to other remote sensing technologies. This dissertation presents a collection of algorithms developed for automatically extracting useful information from lidar data exclusively. The algorithms focus on automated extraction of DTMs, 3-D roads and buildings utilizing single- or multi-return lidar range and intensity data. The hierarchical terrain recovery algorithm can intelligently discriminate between terrain and non-terrain lidar points by adaptive and robust filtering. It processes the range data bottom up and top down to estimate high quality DTMs using the hierarchical strategy. Road ribbons are detected by classifying lidar intensity and height data. The 3-D grid road networks are reconstructed using a sequential Hough transformation, and are verified using road ribbons and lidar-derived DTMs. The attributes of road segments including width, length and slope are computed. Building models are created with a high level of accuracy. The building boundaries are detected by segmenting lidar height data. A sequential linking technique is proposed to reconstruct building
Number 20187
Department of Geomatics Engineering
Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne Lidar Data
(URL: http://www.geomatics.ucalgary.ca/links/GradTheses.html)
by
Yong Hu October 2003
THE UNIVERSITY OF CALGARY
Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne Lidar Data
by YONG HU
A DISSERTATION SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
DEPARTMENT OF GEOMATICS ENGINEERING
CALGARY, ALBERTA OCTOBER, 2003
© YONG HU 2003
· ii ·
ABSTRACT Airborne lidar has become a commercially viable remote sensing platform, and can provide accurate elevation data about both topographic surfaces and non-terrain objects. Its capability of mapping topography and 3-D models of civil objects is uncommon to other remote sensing technologies. This dissertation presents a collection of algorithms developed for automatically extracting useful information from lidar data exclusively. The algorithms focus on automated extraction of DTMs, 3-D roads and buildings utilizing single- or multi-return lidar range and intensity data. The hierarchical terrain recovery algorithm can intelligently discriminate between terrain and non-terrain lidar points by adaptive and robust filtering. It processes the range data bottom up and top down to estimate high quality DTMs using the hierarchical strategy. Road ribbons are detected by classifying lidar intensity and height data. The 3-D grid road networks are reconstructed using a sequential Hough transformation, and are verified using road ribbons and lidar-derived DTMs. The attributes of road segments including width, length and slope are computed. Building models are created with a high level of accuracy. The building boundaries are detected by segmenting lidar height data. A sequential linking technique is proposed to reconstruct building
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