Combining SAR and optical features in a SVM classifier for man-made structures detection

Gabrielle Lehureau; Marine Campedel; Florence Tupin; Celine Tison; Guillaume Oller

doi:10.1109/IGARSS.2009.5417908

Combining SAR and optical features in a SVM classifier for man-made structures detection

Gabrielle Lehureau, Marine Campedel, Florence Tupin, Celine Tison, Guillaume Oller

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The increasing quality of satellite images has generated interests in extracting man-made structures in urban areas, such as buildings and roads. A classification adapted to urban areas can help to identify these structures. In this paper, SAR information are used to improve land-cover classification. We proposed a classification process using both radar and optical data, a segmentation and a classification with Support Vector Machines (SVM).

Original language	English
Title of host publication	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
Pages	III873-III876
DOIs	https://doi.org/10.1109/IGARSS.2009.5417908
Publication status	Published - 1 Dec 2009
Externally published	Yes
Event	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa Duration: 12 Jul 2009 → 17 Jul 2009

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	3

Conference

Conference	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/Territory	South Africa
City	Cape Town
Period	12/07/09 → 17/07/09

Keywords

Classification
High-resolution imagery
Optical imagery
SAR
SVM
Urban areas

Access to Document

10.1109/IGARSS.2009.5417908

Cite this

Lehureau, G., Campedel, M., Tupin, F., Tison, C., & Oller, G. (2009). Combining SAR and optical features in a SVM classifier for man-made structures detection. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings (pp. III873-III876). Article 5417908 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3). https://doi.org/10.1109/IGARSS.2009.5417908

@inproceedings{15418d96796c425cabc9a736f3386122,

title = "Combining SAR and optical features in a SVM classifier for man-made structures detection",

abstract = "The increasing quality of satellite images has generated interests in extracting man-made structures in urban areas, such as buildings and roads. A classification adapted to urban areas can help to identify these structures. In this paper, SAR information are used to improve land-cover classification. We proposed a classification process using both radar and optical data, a segmentation and a classification with Support Vector Machines (SVM).",

keywords = "Classification, High-resolution imagery, Optical imagery, SAR, SVM, Urban areas",

author = "Gabrielle Lehureau and Marine Campedel and Florence Tupin and Celine Tison and Guillaume Oller",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2009.5417908",

language = "English",

isbn = "9781424433957",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "III873--III876",

booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",

}

Lehureau, G, Campedel, M, Tupin, F, Tison, C & Oller, G 2009, Combining SAR and optical features in a SVM classifier for man-made structures detection. in 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings., 5417908, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 3, pp. III873-III876, 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 12/07/09. https://doi.org/10.1109/IGARSS.2009.5417908

Combining SAR and optical features in a SVM classifier for man-made structures detection. / Lehureau, Gabrielle; Campedel, Marine; Tupin, Florence et al.
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. III873-III876 5417908 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Combining SAR and optical features in a SVM classifier for man-made structures detection

AU - Lehureau, Gabrielle

AU - Campedel, Marine

AU - Tupin, Florence

AU - Tison, Celine

AU - Oller, Guillaume

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The increasing quality of satellite images has generated interests in extracting man-made structures in urban areas, such as buildings and roads. A classification adapted to urban areas can help to identify these structures. In this paper, SAR information are used to improve land-cover classification. We proposed a classification process using both radar and optical data, a segmentation and a classification with Support Vector Machines (SVM).

AB - The increasing quality of satellite images has generated interests in extracting man-made structures in urban areas, such as buildings and roads. A classification adapted to urban areas can help to identify these structures. In this paper, SAR information are used to improve land-cover classification. We proposed a classification process using both radar and optical data, a segmentation and a classification with Support Vector Machines (SVM).

KW - Classification

KW - High-resolution imagery

KW - Optical imagery

KW - SAR

KW - SVM

KW - Urban areas

U2 - 10.1109/IGARSS.2009.5417908

DO - 10.1109/IGARSS.2009.5417908

M3 - Conference contribution

AN - SCOPUS:77950960024

SN - 9781424433957

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - III873-III876

BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

Y2 - 12 July 2009 through 17 July 2009

ER -

Combining SAR and optical features in a SVM classifier for man-made structures detection

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this