Extended LVQ Neural Network Approach to Land Cover Mapping
Yosuke Ito, Sigeru Omatu · IEEE Transactions on Geoscience and Remote Sensing · 1999
A competitive neural network (NN) learned by the OLVQ1 algorithm has the potential to produce images for land cover mapping. We propose an extended OLVQ1 that adds learning ratios to the original algorithm. Applying it to SPOT XS data, we show that higher mapping accuracies can be obtained compared to those of conventional methods.