The present article proposes a new neuro-fuzzy-fusion (NFF) method for combining the output of a set of fuzzy classifiers in a multiple classifier system (MCS) framework. In the proposed method the output of a set of classifiers (i.e., fuzzy class labels) are fed as input to a neural network, which performs the fusion task. The proposed fusion technique is tested on a set of remote sensing images and compared with existing techniques. Experimental study revealed the improved classification capability of the NFF based MCS as it yielded consistently better results.
CITATION STYLE
Uma Shankar, B., Meher, S. K., Ghosh, A., & Bruzzone, L. (2006). Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach (pp. 128–139). https://doi.org/10.1007/11949619_12
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