Title :
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
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;
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
DOI :
10.1109/IGARSS.2009.5417908
