Title :
Hedgerow segmentation on VHR optical satellite images for habitat monitoring
Author :
Arias, M. ; Inglada, Jordi ; Lucas, Richard ; Blonda, P.
Author_Institution :
CESBIO, Toulouse, France
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723533
