The Application of Multi-Feature Fusion in Remote Sensing Image Recognition

Jin Mei Liu; Jing Hua Chen

doi:10.4028/www.scientific.net/AMM.488-489.1079

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 488-489The Application of Multi-Feature Fusion in Remote...

The Application of Multi-Feature Fusion in Remote Sensing Image Recognition

Abstract:

A novel method for multi-feature fusion is proposed in this paper. Spectral curve is used to represent spectral feature. Run-length is redefined to describe texture. Surface integral is introduced to express spatial feature. The fuzzy fusion theory is adopted to integrate a variety of features so as to identify remote sensing images. SPOT5 multi-spectral images were used as experimental data. Qingdao Agricultural University and its surrounding were selected as the study area. Experimental results show that the proposed method has good performance for green land, building, shadow and water, but the recognition rate of bare ground and road is not high. The even classification accuracy is satisfactory about 79.5%.

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Periodical:

Applied Mechanics and Materials (Volumes 488-489)

Pages:

1079-1082

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.488-489.1079

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Online since:

January 2014

Authors:

Jin Mei Liu*, Jing Hua Chen

Keywords:

Fuzzy Integral, Multi-Feature Fusion, Remote Sensing

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* - Corresponding Author

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