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
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 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.

Conference paper (PDF, 2553 KB)


Citation: Alipour Fard, T., Hasanlou, M., and Arefi, H.: CLASSIFIER FUSION OF HIGH-RESOLUTION OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) SATELLITE IMAGERY FOR CLASSIFICATION IN URBAN AREA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 25-29, https://doi.org/10.5194/isprsarchives-XL-2-W3-25-2014, 2014.

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