Automated 2-D building footprint extraction from high-resolution satellite multispectral imagery

Author

Shackelford, Aaron K. ; Davis, Curt H. ; Wang, Xiangyun

Author_Institution

Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA

Volume

3

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

1996

Abstract

A fully automated algorithm for the extraction of building footprints from commercial high-resolution satellite imagery is presented. The algorithm is based on identifying buildings and their shadows in the differential morphological profile (DMP) of 1-m resolution panchromatic imagery. The DMP is a multi-scale image analysis technique where an image profile is constructed through the use of morphological opening and closing operations while varying the size of the structuring element. A variety of shape-based features are utilized to extract buildings and their shadows from the DMP. The algorithm has been tested on an IKONOS image, and the results are promising.

Keywords

building; feature extraction; geophysical signal processing; image resolution; terrain mapping; 1-m resolution panchromatic imagery; DMP; IKONOS image; automated 2-D building footprint extraction; automated algorithm; building identification; building shadow identification; buildings detection; commercial high-resolution satellite imagery; differential morphological profile; high-resolution satellite multispectral imagery; image profile; morphological closing operation; morphological opening operation; multiscale image analysis technique; structuring element size; Buildings; Data mining; Detectors; Image analysis; Image reconstruction; Multispectral imaging; Roads; Satellites; Shape; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370739

Filename

1370739