SEMI-AUTOMATIC BUILDING EXTRACTION IN DENSE URBAN SETTLEMENT AREAS FROM HIGH-RESOLUTION SATELLITE IMAGES

Journal article

Authors/Editors

Mayunga, Selassie

Research Areas

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Publication Details

Author list: Mayunga SD, Coleman DJ, Zhang Y

Publisher: Taylor & Francis: STM, Behavioural Science and Public Health Titles

Place: BRISTOL

Publication year: 2010

Journal: Survey Review (0039-6265)

Journal acronym: SURV REV

Volume number: 42

Issue number: 315

Start page: 50

End page: 61

Number of pages: 12

ISSN: 0039-6265

eISSN: 1752-2706

Languages: English-Great Britain (EN-GB)

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Abstract

Recent availability of high-resolution satellite images provides a new data source for geospatial data acquisition. This high-resolution data source has made it possible to extract man-made features such as roads and buildings, which are required for varieties of applications including urban planning, creation of GIS databases, and environmental monitoring. In this paper, we have developed a new method to extract buildings in urban informal settlement areas using high-spatial resolution panchromatic imagery. The proposed method uses radial casting algorithm to initialize snakes contours, and the fine measurement of building outlines is automatically carried out using snakes models. The building extraction results are satisfactory with an extraction rate of 94 percent as demonstrated by examples over a variety of selected test areas. The potential and limitations of applying this method to extract buildings is also discussed.

Keywords

Building extraction, GIS database, Satellite images, Urban settlements

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