Building extraction in urban areas from satellite images using GIS data as prior information

Author

Jinghui, Duan ; Veronique, Prinet ; Hanqing, Lu

Volume

7

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4762

Abstract

In this paper, a building extraction method based on segmentation is proposed. The high-resolution satellite imagery and GIS data are used in our application. GIS data provides the prior knowledge of building to segmentation algorithm. The method consists of three steps: data preprocessing, objects segmentation using the fuzzy connectedness segmentation algorithm and results post-processing. Experimental results show the efficiency of the method but improvement is still needed

Keywords

feature extraction; fuzzy set theory; geographic information systems; geophysical signal processing; image resolution; image segmentation; object detection; terrain mapping; town and country planning; GIS data; building extraction method; data post-processing; data preprocessing; fuzzy connectedness segmentation algorithm; high-resolution satellite imagery; objects segmentation; urban areas; Automation; Buildings; Data mining; Geographic Information Systems; Image resolution; Image segmentation; Laboratories; Layout; Satellites; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370223

Filename

1370223