Automatic Building Extraction in VHR Images Using Advanced Morphological Operators

Author

Lefevre, S. ; Weber, Jens ; Sheeren, D.

Author_Institution

Univ. Louis Pasteur, Illkirch

fYear

2007

fDate

11-13 April 2007

Firstpage

1

Lastpage

5

Abstract

This paper presents a new method for buildings extraction in Very High Resolution (VHR) remotely sensed images based on binary mathematical morphology (MM) operators. The proposed approach involves several advanced morphological operators among which an adaptive hit-or-miss transform with varying sizes and shapes of the structuring element and a bidimensional granulometry intended to determine the optimal filtering parameters automatically. A clustering-based approach for image binarization is also introduced. This one avoids an empirical thresholding of input panchromatic images. Experiments made on a Quickbird VHR-image show the effectiveness of the method.

Keywords

feature extraction; filtering theory; geophysical signal processing; image resolution; image segmentation; mathematical morphology; remote sensing; Quickbird very high resolution images; advanced morphological operators; automatic building extraction; bidimensional granulometry; binary mathematical morphology; clustering-based approach; empirical thresholding; hit-or-miss transform; image binarization; morphological operators; optimal filtering parameters; panchromatic images; remote sensing; Adaptive filters; Buildings; Data mining; Filtering; Image converters; Image generation; Image resolution; Morphology; Pixel; Shape; Bidimensional Granulometry; Building Extraction; Fusion of Clusters; Hit Or Miss Transform; Mathematical Morphology; Quickbird VHR imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Joint Event, 2007

Conference_Location

Paris

Print_ISBN

1-4244-0711-7

Type

conf

DOI

10.1109/URS.2007.371825

Filename

4234424