Volume XL-2/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 25-29, 2014
https://doi.org/10.5194/isprsarchives-XL-2-W3-25-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 25-29, 2014
https://doi.org/10.5194/isprsarchives-XL-2-W3-25-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  21 Oct 2014

21 Oct 2014

CLASSIFIER FUSION OF HIGH-RESOLUTION OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) SATELLITE IMAGERY FOR CLASSIFICATION IN URBAN AREA

T. Alipour Fard, M. Hasanlou, and H. Arefi T. Alipour Fard et al.
  • Dept. of Geomatics and Surveying Eng., University of Tehran, Tehran, Iran

Keywords: Classifier Fusion, SAR Images, Optical Images, Feature Extraction, Classification

Abstract. This study concerned with fusion of synthetic aperture radar and optical satellite imagery. Due to the difference in the underlying sensor technology, data from synthetic aperture radar (SAR) and optical sensors refer to different properties of the observed scene and it is believed that when they are fused together, they complement each other to improve the performance of a particular application. In this paper, two category of features are generate and six classifier fusion operators implemented and evaluated.

Implementation results show significant improvement in the classification accuracy.