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Land cover and land use classification with Remote Sensing (RS) image is used broadly in dynamic monitoring of land use. For the RS image classification, the method of BP neutral network with one single hidden layer has been widely used. But the traditional BP neutral network based on gradient descendent of error has low classification rate. It is not easy to converge and often get into local minimum...
Land-use change is an important area of global change research, rapid and accurate access to land-use temporal and spatial variation information is a key technology to study land-use change. In this paper proposed a method which utilizes the improved model of fuzzy ARTMAP network - simplified fuzzy ARTMAP neural network for remote sensing land-use classification, and Take the TM remote sensing image...
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