TY - GEN
T1 - Building and road extraction on urban VHR IMAGES using SVM combinations and mean shift segmentation
AU - Simler, Christophe
AU - Beumier, Charles
PY - 2010
Y1 - 2010
N2 - A method is proposed for building and road detection on very high spatial resolution multispectral aerial image of dense urban areas. First, objects are extracted with a segmentation algorithm in order to use both spectral and spatial information. Second, a spectral-spatial object-level pattern is formed, and then classification is performed using a 3-class SVM classifier, followed by a post-processing using contextual information to handle conflicts. However, in the particular case where many building roofs are grey like the roads and have similar geometry, classification accuracy is inevitably limited. In order to overcome this limitation, different classifiers are combined and different patterns used, improving the accuracy of 10%.
AB - A method is proposed for building and road detection on very high spatial resolution multispectral aerial image of dense urban areas. First, objects are extracted with a segmentation algorithm in order to use both spectral and spatial information. Second, a spectral-spatial object-level pattern is formed, and then classification is performed using a 3-class SVM classifier, followed by a post-processing using contextual information to handle conflicts. However, in the particular case where many building roofs are grey like the roads and have similar geometry, classification accuracy is inevitably limited. In order to overcome this limitation, different classifiers are combined and different patterns used, improving the accuracy of 10%.
KW - Classifier combination
KW - Mean shift
KW - Support vector machine
KW - Very high spatial resolution image
UR - http://www.scopus.com/inward/record.url?scp=77956319547&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77956319547
SN - 9789896740283
T3 - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 451
EP - 457
BT - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
Y2 - 17 May 2010 through 21 May 2010
ER -