Hedgerow segmentation on VHR optical satellite images for habitat monitoring

Author

Arias, M. ; Inglada, Jordi ; Lucas, Richard ; Blonda, P.

Author_Institution

CESBIO, Toulouse, France

fYear

2013

fDate

21-26 July 2013

Firstpage

3301

Lastpage

3304

Abstract

This paper presents a method for hedgerow extraction from very high resolution optical images using image segmentation. The method is based on a connected component region growing approach followed by an object based image analysis filtering allowing to introduce high level knowledge about the characteristics of the desired hedgerows. The proposed approach is used as a part of the EODHaM image processing system developed in the framework of the BIO SOS FP7 project.

Keywords

geophysical image processing; image resolution; image segmentation; vegetation; vegetation mapping; BIO SOS FP7 project; EODHaM image processing system; VHR optical satellite images; habitat monitoring; hedgerow extraction; hedgerow segmentation; high level knowledge; image segmentation; object based image analysis filtering; Biomedical optical imaging; Image segmentation; Monitoring; Optical imaging; Optical sensors; Vegetation; Vegetation mapping; Biodiversity Monitoring; Connected Component; Hedgerows; Mean-Shift; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723533

Filename

6723533