Using an unsupervised approach of Probabilistic Neural Network (PNN) for land use classification from multitemporal satellite images
Using of Probabilistic Neural Network (PNN) to multichannel image classification. Automatic process to transform the supervised PNN classification to unsupervised. Combination of PNN, hierarchical clustering and cluster validity Index. Land use classification gives a precision with about 3.44% of error. Can be used to large surfaces where the information on soil and crops is limited.
probabilistic neural network land use cluster validity index unsupervised classification ward's method landsat and spot images