Semi-automatic building extraction from high resolution imagery based on segmentation

Recently, more and more high resolution remote sensing images appear, and they provide new data source for building extraction. Some building extraction methods are proposed to adapt to this trend. This paper addresses a semi-automatic method that combines segmentation and region selection. First, m...

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Bibliographic Details
Published in2008 International Workshop on Earth Observation and Remote Sensing Applications pp. 1 - 5
Main Authors Jiang, N., Zhang, J.X., Li, H.T., Lin, X.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Buildings
Data mining
Feature extraction
Image edge detection
Image segmentation
Pixel
Remote sensing
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Summary:Recently, more and more high resolution remote sensing images appear, and they provide new data source for building extraction. Some building extraction methods are proposed to adapt to this trend. This paper addresses a semi-automatic method that combines segmentation and region selection. First, mean shift segmentation is applied to the image, and then the region extraction is implemented through the interactively selection of building parts. Edge detection is also involved to get the boundary of buildings. At last, the paper gives the contrast of the unsupervised classification ISODATA result and this extraction method.
ISBN:1424423937
9781424423934
DOI:10.1109/EORSA.2008.4620311