Title :
Fusing SAR urban extent extractions at multiple spatial resolutions
Author :
Salentinig, A. ; Gamba, P.
Author_Institution :
Univ. of Pavia, Pavia, Italy
Abstract :
This work is devoted to the fusion of spaceborne SAR urban extent extractions at multiple spatial resolutions. The results of already existing urban settlement detection algorithms are fused in order to enhance the accuracy and to increase the reliability of the overall urban extent maps. Simple, but reasonable logical combinations are used as fusion operators. In order to find out if the fusion at the decision level leads to better results, the accuracies of both, the single image as well as the fused results, are assessed and compared. Results show that the fusion exhibits lower Commission errors and slightly higher Omission errors, resulting in a more reliable urban area extraction.
Keywords :
feature extraction; geophysical image processing; image fusion; image resolution; reliability; remote sensing by radar; synthetic aperture radar; terrain mapping; Commission errors; Omission errors; SAR urban extent extraction fusion; reliability; spaceborne SAR; spatial resolution; urban settlement detection algorithm; Accuracy; Cities and towns; Data mining; Frequency modulation; Spatial resolution; Synthetic aperture radar; Urban areas; SAR; Urban extraction fusion; multi-scale;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946391