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Proceedings Paper

Fusion of airborne SAR image and color aerial image for land use classification
Author(s): Ruifang Zhu
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Paper Abstract

The fusion of multi-source data is one of the most promising techniques for improved classification of remote sensing images. This paper utilized the images by fusing the high-resolution optical and SAR images for land use classification. The high-resolution optical and SAR images present the land features for many aspects and supplement information to each other because of their different imaging modes and wavebands, so classical methods such as Hue - Intensity -Saturation(HIS) transform based, Brovey(color normalized),Principal Component Substitution(PCS) approaches and wavelet-based method are used in fusing process, then the fused results been evaluated through the calculation of some quantitative index(Mean grey value, Standard error, Entropy, Definition). The wavelet-based fused image shows better effect than others. A MLC(maximum likelihood classification) method was employed to the wavelet-based fused image ,Classification accuracy was assessed using high-resolution aerial orthophotos. The overall accuracy for six classes(Settlement, River, Agricultural field, Country road, Tree nurseries, Bare land) was found to be 94.36% with kappa coefficient of 0.92.

Paper Details

Date Published: 23 November 2011
PDF: 5 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060F (23 November 2011);
Show Author Affiliations
Ruifang Zhu, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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