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

Author

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

Author_Institution

Inst. TELECOM, TELECOM ParisTech, Paris, France

Volume

3

fYear

2009

fDate

12-17 July 2009

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

feature extraction; geophysical image processing; image classification; image segmentation; optical images; remote sensing; support vector machines; synthetic aperture radar; SAR; SVM classifier; buildings; feature extraction; image classification; image segmentation; land cover classification; man-made structures detection; optical features; roads; satellite images; support vector machine; urban areas; Buildings; Data mining; Image generation; Laser radar; Radar imaging; Roads; Satellites; Support vector machine classification; Support vector machines; Urban areas; Classification; High-Resolution imagery; Optical imagery; SAR; SVM; urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5417908

Filename

5417908