TY - CHAP
T1 - Regionwise Classification of Building Facade Images
AU - Yang, Michael Ying
AU - Förstner, Wolfgang
PY - 2011
Y1 - 2011
N2 - In recent years, the classification task of building facade images receives a great deal of attention in the photogrammetry community. In this paper, we present an approach for regionwise classification using an efficient randomized decision forest classifier and local features. A conditional random field is then introduced to enforce spatial consistency between neighboring regions. Experimental results are provided to illustrate the performance of the proposed methods using image from eTRIMS database, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window.
AB - In recent years, the classification task of building facade images receives a great deal of attention in the photogrammetry community. In this paper, we present an approach for regionwise classification using an efficient randomized decision forest classifier and local features. A conditional random field is then introduced to enforce spatial consistency between neighboring regions. Experimental results are provided to illustrate the performance of the proposed methods using image from eTRIMS database, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window.
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1007/978-3-642-24393-6_18
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2011/chap/yang_reg.pdf
U2 - 10.1007/978-3-642-24393-6_18
DO - 10.1007/978-3-642-24393-6_18
M3 - Chapter
SN - 978-3-642-24392-9
T3 - Photogrammetric Image Analysis
SP - 209
EP - 220
BT - Photogrammetric Image Analysis
PB - Springer
CY - Heidelberg
ER -