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Proceedings Paper

Multisource remote sensing data fusion using fuzzy self-organization mapping network and modified Dempster-Shafer evidential reasoning method of classification
Author(s): Chunping Liu; Ling Kong; Peihua Shen; Deshen Xia
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Paper Abstract

By integrating Fuzzy Kohonen Clustering Network (FKCN) with Fuzzy Dempster-Shafer Evidential Reasoning Theory (FDSERT), a new multi-source data fusion of Remote Sensing information algorithm is proposed in this paper. The new algorithm can be applied in classification of remote sensing image through FKCN learning and FDSERT fusing. Experimental results comparing with the FKCN algorithm indicates that the classification algorithm of multi-source data fusion of Remote Sensing is superior to that of FKCN algorithm. And the algorithm can obviously improve classification accuracy. At the same time, the algorithm can makes the best of expert knowledge. Therefore the algorithm is an effective classification algorithm of Remote Sensing image.

Paper Details

Date Published: 18 September 2001
PDF: 9 pages
Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440277
Show Author Affiliations
Chunping Liu, Nanjing Univ. of Science and Technology (China)
Ling Kong, Nanjing Univ. of Science and Technology (China)
Peihua Shen, Nanjing Univ. of Science and Technology (China)
Deshen Xia, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4556:
Data Mining and Applications

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