Satellite Imagery Cadastral Features Extractions using Image Processing Algorithms: A Viable Option for Cadastral Science
Satellite images are used for feature extraction among other functions. They are used to extract linear features, like roads, etc. These linear features extractions are important operations in computer vision. Computer vision has varied applications in photogrammetric, hydrographic, cartographic and remote sensing tasks. The extraction of linear features or boundaries defining the extents of lands, land covers features are equally important in Cadastral Surveying. Cadastral Surveying is the cornerstone of any Cadastral System. A two dimensional cadastral plan is a model which represents both the cadastral and geometrical information of a two dimensional labeled Image.
This paper aims at using and widening the concepts of high resolution Satellite imagery data for extracting representations of cadastral boundaries using image processing algorithms, hence minimizing the human interventions. The Satellite imagery is firstly rectified hence establishing the satellite imagery in the correct orientation and spatial location for further analysis. We, then employ the much available Satellite imagery to extract the relevant cadastral features using computer vision and image processing algorithms. We evaluate the potential of using high resolution Satellite imagery to achieve Cadastral goals of boundary detection and extraction of farmlands using image processing algorithms. This method proves effective as it minimizes the human demerits associated with the Cadastral surveying method, hence providing another perspective of achieving cadastral goals as emphasized by the UN cadastral vision. Finally, as Cadastral science continues to look to the future, this research aimed at the analysis and getting insights into the characteristics and potential role of computer vision algorithms using high resolution satellite imagery for better digital Cadastre that would provide improved socio economic development.
Keywords: Geo-rectification, Cadastral Surveying, Morphological operation, Hough Transform
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ABOUT THE AUTHORS
Usman Babawuro
Usman Babawuro graduated from the Department of Surveying, Ahmadu Bello University, ABU, Zaria, Nigeria, with a Bachelor degree in Surveying in 1988. He then, obtained PGD and MSc in Computer Science and Technology from Central South University Changsha, China in 2002. He worked as a Surveyor for some years, executing legal surveys in Nigeria. Then he joined the services of the Department of computer science, Kano University of Science and Technology, KUST, Wudil, Nigeria as an academic staff. To further his educational career, in 2009, he pursued a Doctoral Programme, at the School of Information Science and Engineering, Central South University, Changsha, China, where he worked with Image Processing and Virtual Reality Laboratory of the University for his research. During his stay in the lab, he published five papers in an international conference and at other international journals. He has already authored several papers in other journals and conferences. He is a professional member of both Nigerian Computer Society and Computer Registration Council of Nigeria. His research interest includes satellite image processing, pattern recognition and feature extraction.
Zou Beiji
Zou Beiji • Education Background 1978 – 1982 Zhejiang University, Hangzhou, China BSC Computer Software. 1982 – 1984 Qinghua University, Beijing, China MSc Computer Application. 1997 – 2001 Hunan University, Changsha, China Ph.D. Control Theory and Engineering • Research Experience 2002 – 2003 Qinghua University Post Doctor 2003 – 2004 Griffith University, Australia. Visiting Scholar.
Usman Babawuro
Usman Babawuro graduated from the Department of Surveying, Ahmadu Bello University, ABU, Zaria, Nigeria, with a Bachelor degree in Surveying in 1988. He then, obtained PGD and MSc in Computer Science and Technology from Central South University Changsha, China in 2002. He worked as a Surveyor for some years, executing legal surveys in Nigeria. Then he joined the services of the Department of computer science, Kano University of Science and Technology, KUST, Wudil, Nigeria as an academic staff. To further his educational career, in 2009, he pursued a Doctoral Programme, at the School of Information Science and Engineering, Central South University, Changsha, China, where he worked with Image Processing and Virtual Reality Laboratory of the University for his research. During his stay in the lab, he published five papers in an international conference and at other international journals. He has already authored several papers in other journals and conferences. He is a professional member of both Nigerian Computer Society and Computer Registration Council of Nigeria. His research interest includes satellite image processing, pattern recognition and feature extraction.
Zou Beiji
Zou Beiji • Education Background 1978 – 1982 Zhejiang University, Hangzhou, China BSC Computer Software. 1982 – 1984 Qinghua University, Beijing, China MSc Computer Application. 1997 – 2001 Hunan University, Changsha, China Ph.D. Control Theory and Engineering • Research Experience 2002 – 2003 Qinghua University Post Doctor 2003 – 2004 Griffith University, Australia. Visiting Scholar.
