Buildings extraction of very high spatial resolution satellite images

Author

Benali, Abderraouf ; Dermeche, Hakima ; Belhadj, Sabrina ; Adnane, Akram ; Hanifi Elhachemi Amar, Reda

Author_Institution

Dept. of Electron., LEPESA, Univ. of Sci. & Technol. of Oran (USTO-MB), Oran, Algeria

fYear

2014

fDate

14-16 April 2014

Firstpage

277

Lastpage

282

Abstract

In this paper we propose a method based on mathematical morphology for a building detection of high spatial resolution urban areas satellite images, our method is unsupervised and does not require any additional data except the image itself. It consists on using several morphological operations such as Hit or Miss Transformation (HMT). The deformation correction and smoothing are used to eliminate the noise. Thereafter we compared our method with two other variants.

Keywords

feature extraction; object detection; building detection; buildings extraction; deformation correction; deformation smoothing; hit or miss transformation; mathematical morphology; satellite images; Buildings; Image reconstruction; Morphology; Satellites; Smoothing methods; Spatial resolution; Transforms; Building extraction; HMT; Mathematical morphology; spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2014 International Conference on

Conference_Location

Marrakech

Print_ISBN

978-1-4799-3823-0

Type

conf

DOI

10.1109/ICMCS.2014.6911229

Filename

6911229

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=256245