Image Processing Algorithms for Automated Cadastral Feature Extraction

Computer vision and Image processing paradigms deal with edges and forms. Specifically edges are points where there is a boundary between two image regions. Visually, they form the outline of a feature. An edge is the boundary between a feature and its background. Technically, if edges of features are algorithmically identified and detected accurately, then all features could be located and their basic geometric properties could be determined. Similarly, these edges and forms of features are part and parcel of Cadastral Surveying and they are used to obtain the geometric values of the features, hence delineating and mapping cadastral features for the production of Cadastral plans using field oriented Surveying.Besides cadastral plans, high resolution satellite imageries have potential cadastral values as they are used to depict cadastral features. In computer vision they are used to extract linear features. The extraction of linear features or boundaries defining the extents of lands, land covers or other topographic features are very important and useful in Cadastral Surveying.The aims are to employ the concepts of computer vision using Satellite imagery to extract features.

Autorentext

Born in 1964. In 1983, I graduated from D/Kudu Sec School with flying colors hence paving way for my Univ career at Dept of Geomatics, Ahmadu Bello University, Nigeria, where i graduated in 1988 with BSc Geomatics. In 2002,i got MSc in Comp Science. In 2012,I got a Doctorate degree (PhD) in Computer Science-in the field of Digital Image Processing.