Hedges detection using local directional features and support vector data description

M. Fauvel; D. Sheeren; J. Chanussot; J. A. Benediktsson

doi:10.1109/IGARSS.2012.6351030

Hedges detection using local directional features and support vector data description

M. Fauvel, D. Sheeren, J. Chanussot, J. A. Benediktsson

University of Iceland

University of Iceland

Research output: Contribution to conference › Paper › peer-review

Abstract

The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed. The spatial information is modeled per pixel as the local orientation of the structure to which the pixel belongs. The local orientation is computed from the morphological directional profile built with a serie of linear openings in several directions. These features are used as inputs to a support vector data description, a detection algorithm. Experimental results on a real satellite image show that the local orientation helps in discriminating hedges from other woody elements, which is not possible using the spectral information only.

Original language	English
Pages	2320-2323
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351030
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

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10.1109/IGARSS.2012.6351030

Cite this

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title = "Hedges detection using local directional features and support vector data description",

abstract = "The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed. The spatial information is modeled per pixel as the local orientation of the structure to which the pixel belongs. The local orientation is computed from the morphological directional profile built with a serie of linear openings in several directions. These features are used as inputs to a support vector data description, a detection algorithm. Experimental results on a real satellite image show that the local orientation helps in discriminating hedges from other woody elements, which is not possible using the spectral information only.",

author = "M. Fauvel and D. Sheeren and J. Chanussot and Benediktsson, \{J. A.\}",

year = "2012",

doi = "10.1109/IGARSS.2012.6351030",

language = "English",

pages = "2320--2323",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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T1 - Hedges detection using local directional features and support vector data description

AU - Fauvel, M.

AU - Sheeren, D.

AU - Chanussot, J.

AU - Benediktsson, J. A.

PY - 2012

Y1 - 2012

N2 - The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed. The spatial information is modeled per pixel as the local orientation of the structure to which the pixel belongs. The local orientation is computed from the morphological directional profile built with a serie of linear openings in several directions. These features are used as inputs to a support vector data description, a detection algorithm. Experimental results on a real satellite image show that the local orientation helps in discriminating hedges from other woody elements, which is not possible using the spectral information only.

AB - The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed. The spatial information is modeled per pixel as the local orientation of the structure to which the pixel belongs. The local orientation is computed from the morphological directional profile built with a serie of linear openings in several directions. These features are used as inputs to a support vector data description, a detection algorithm. Experimental results on a real satellite image show that the local orientation helps in discriminating hedges from other woody elements, which is not possible using the spectral information only.

UR - https://www.scopus.com/pages/publications/84873132667

U2 - 10.1109/IGARSS.2012.6351030

DO - 10.1109/IGARSS.2012.6351030

M3 - Paper

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EP - 2323

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Hedges detection using local directional features and support vector data description

Abstract

Conference

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