TY - GEN
T1 - Yiǧilmiş genelleme yöntemiyle uydu görü ntülerinden otomatik bina bulunmasi
AU - Yüksel, Bariş
AU - Şenaras, Çaǧlar
AU - Özay, Mete
AU - Vural, Fatoş Yarman
PY - 2011/7/21
Y1 - 2011/7/21
N2 - This paper proposes an automated segmentation, based algorithm for building detection in satellite images. The proposed method consists of a two layer hierarchical classification mechanism. In the first layer, each segment is classified by N different classifier according to different features. In the second layer of the mechanism, the class membership values of the segment from different first layer classifiers are concatenated to form a new vector, which is used by the meta classifier to classify the selected segment. The paper also presents the performance results of the proposed model and comparison with the single layer classifiers.
AB - This paper proposes an automated segmentation, based algorithm for building detection in satellite images. The proposed method consists of a two layer hierarchical classification mechanism. In the first layer, each segment is classified by N different classifier according to different features. In the second layer of the mechanism, the class membership values of the segment from different first layer classifiers are concatenated to form a new vector, which is used by the meta classifier to classify the selected segment. The paper also presents the performance results of the proposed model and comparison with the single layer classifiers.
UR - http://www.scopus.com/inward/record.url?scp=79960425290&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960425290&partnerID=8YFLogxK
U2 - 10.1109/SIU.2011.5929746
DO - 10.1109/SIU.2011.5929746
M3 - Conference contribution
AN - SCOPUS:79960425290
SN - 9781457704635
T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
SP - 694
EP - 697
BT - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Y2 - 20 April 2011 through 22 April 2011
ER -