18 September 2001 Multisource remote sensing data fusion using fuzzy self-organization mapping network and modified Dempster-Shafer evidential reasoning method of classification
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Proceedings Volume 4556, Data Mining and Applications; (2001) https://doi.org/10.1117/12.440277
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
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Chunping Liu, Chunping Liu, Ling Kong, Ling Kong, Peihua Shen, Peihua Shen, Deshen Xia, Deshen Xia, } "Multisource remote sensing data fusion using fuzzy self-organization mapping network and modified Dempster-Shafer evidential reasoning method of classification", Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440277; https://doi.org/10.1117/12.440277
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