Automated Removal of Digital Terrain Versions, Roads and Buildings Employing Airborne Lidar Data

UCGE Reports

Number 20187

Department of Geomatics Anatomist

Automated Removal 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 SCHOOL OF CALGARY

Automated Extraction of Digital Terrain Types, Roads and Buildings Employing Airborne Lidar Data

simply by YONG HU

A DISSERTATION SUBMITTED FOR THE FACULTY OF GRADUATE RESEARCH IN PARTIALLY FULFILMENT WITH THE REQUIREMENTS INTENDED FOR THE DEGREE OF DOCTOR OF BELIEFS

DEPARTMENT OF GEOMATICS ANATOMIST

CALGARY, ALBERTA OCTOBER, the year 2003

В© YONG HU 2003

В· ii В·

SUBJECTIVE Airborne lidar has become a commercially viable remote realizing platform, and can provide appropriate elevation data about both equally topographic areas and non-terrain objects. Its capability of mapping topography and 3-D models of civil items is unheard of to other remote realizing technologies. This kind of dissertation shows a collection of algorithms developed intended for automatically taking out useful details from lidar data specifically. The algorithms focus on automated extraction of DTMs, THREE DIMENSIONAL roads and buildings utilizing single- or multi-return lidar range and intensity info. The hierarchical terrain recovery algorithm can intelligently discriminate between landscape and non-terrain lidar details by adaptive and robust filtering. It processes the number data lower part up and top down to estimate good quality DTMs making use of the hierarchical strategy. Road laces and ribbons are detected by classifying lidar strength and elevation data. The 3-D main grid road networks are reconstructed using a continuous Hough transformation, and are tested using street ribbons and lidar-derived DTMs. The advantages of road segments including breadth, length and slope happen to be computed. Building models are made with a advanced of precision. The building boundaries are recognized by segmenting lidar height data. A sequential connecting technique is recommended to rebuild building boundaries to regular polygons, which are then fixed to be of cartographical quality. Then refractive models are created for smooth roof complexes, and polyhedral models are manufactured for non-flat roof complexes by the pregressive selective improving and straight wall changement procedures. Many attributes of these kinds of building types are produced from the lidar data. These algorithms have already been tested using many lidar datasets of varying terrain type, insurance type and point density. The outcomes show that in most areas the lidar-derived DTMs retain most landscape details and remove non-terrain objects reliably; the road ribbons and main grid road systems are drew well in built-up areas; plus the extracted building footprints include high placement accuracy similar to ground-truth data surveyed in field. A toolkit, called Lidar Experienced, has been developed to pack these algorithms and to provide you with the capability of performing fast info extraction coming from lidar data. В· iii В·

ACKNOWLEDGEMENTS First and foremost, I must thank my parents for their wonderful support and understanding to pursue a target lasting more than thirty years. The fourteen years of studying at same schools as well as the same college or university with my own little close friend are always precious. I would like to thank God for life itself. All that I have is due to his grace, and i also would give glory to him. I would thank all those who have helped me in my operate here at College or university of Calgary and You are able to University: Drs. Vincent Tao, Yang Gao, Rod Blais, Michael Collins, and Ms. Lu-Anne Markland. I have learned a great deal inside my time only at University of Calgary, but nothing more important than the values and principles they taught me personally. Special thanks go to my personal former expert, Mr. Zhifeng Tang, pertaining to his superb help. I also would thank my own fellow graduate student students and colleagues in this department and in earth research department, York University, that have made my own lives vibrant. They are Mr. Zhizhao Liu, Kongzhe Chen, Drs. Longmei Li, Quanke Wang,...

References: В· 157 В·

Fischler, M. A., Tenenbaum, M. M., Wolf, H. C., 1981

В· 158 В·

Gruen, A., Li, H., 1997

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Kraus, E., Pfeifer, D., 1998

В· 161 В·

Mercer, W., 2001

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Park, L. S., Saleh, R. A., 2001

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Souleyrette, 3rd there’s r., Hallmark, T., 2003

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Wild, G., Krzystek, P., 1996

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