Image Processing Algorithms for Automated Cadastral Feature Extraction

Name: Image Processing Algorithms for Automated Cadastral Feature Extraction
Brand: LAP Lambert Academic Publishing
SKU: 9783659927577
Price: 729 CZK
Availability: InStock

Autor: Babawuro Usman, Zou Beiji

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

729 Kč

Computer vision and Image processing paradigms deal with edges and forms. Specifically edges are poi...

Informace o knize

Autor

Babawuro Usman, Zou Beiji

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

156

EAN

9783659927577

Enbook ID

14115352

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

249

Rozměry

150 x 220 x 10

Kompletní popis

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.

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Image Processing Algorithms for Automated Cadastral Feature Extraction

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