Remote Sensing Image Classification Using BP And RBF
Image classification are key component in remote sensing. Various method are used for image classification . The
aim is to develop a method which provide accuracy to the network . Neural network are used for classification in which BP
and RBF network are used to obtain the segmentation and classification of images. The result obtained by BP and RBF
network are compared by pixel by pixel value and showing that RBF network provided more accurate result compare to BP
network. The over all accuracy provide by RBF network is 92% compare to BP network.
General Terms-Artifical Neural Network, Image Classification.
Keywords-BP Network, RBF Network.