Hedgerow segmentation on VHR optical satellite images for habitat monitoring

M. Arias; J. Inglada; R. Lucas; P. Blonda

doi:10.1109/IGARSS.2013.6723533

Hedgerow segmentation on VHR optical satellite images for habitat monitoring

M. Arias, J. Inglada, R. Lucas, P. Blonda

Adran Daearyddiaeth a Gwyddorau Daear

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

4 Dyfyniadau (Scopus)

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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.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	3301-3304
Cyfnodolyn	IEEE International Geoscience and Remote Sensing Symposium Proceedings
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IGARSS.2013.6723533
Statws	Cyhoeddwyd - 27 Ion 2014

Mynediad at Ddogfen

10.1109/IGARSS.2013.6723533

Cysylltiad parhaol

Dolen barhaus

Dyfynnu hyn

@article{d80e793ef0944248b69668c0d63aff94,

title = "Hedgerow segmentation on VHR optical satellite images for habitat monitoring",

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 = "biodiversity monitoring, segmentation, connected component, mean-shift, hedgerows",

author = "M. Arias and J. Inglada and R. Lucas and P. Blonda",

note = "cited By 2",

year = "2014",

month = jan,

day = "27",

doi = "10.1109/IGARSS.2013.6723533",

language = "English",

pages = "3301--3304",

journal = "IEEE International Geoscience and Remote Sensing Symposium Proceedings",

issn = "2153-7003",

publisher = "IEEE Press",

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T1 - Hedgerow segmentation on VHR optical satellite images for habitat monitoring

AU - Arias, M.

AU - Inglada, J.

AU - Lucas, R.

AU - Blonda, P.

N1 - cited By 2

PY - 2014/1/27

Y1 - 2014/1/27

N2 - 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.

AB - 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.

KW - biodiversity monitoring

KW - segmentation

KW - connected component

KW - mean-shift

KW - hedgerows

U2 - 10.1109/IGARSS.2013.6723533

DO - 10.1109/IGARSS.2013.6723533

M3 - Article

SN - 2153-7003

SP - 3301

EP - 3304

JO - IEEE International Geoscience and Remote Sensing Symposium Proceedings

JF - IEEE International Geoscience and Remote Sensing Symposium Proceedings

ER -

Hedgerow segmentation on VHR optical satellite images for habitat monitoring

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