Title :
Application of BP neural network in remote sensing image classification
Author :
Pei, Liang ; Xu, Zhaoyang ; Dai, Jiguang
Author_Institution :
Coll. of Geomatics, Liaoning Tech. Univ., Fuxin, China
Abstract :
BP (back propagation) neural network can be optimized through methods of sample selection GIS data aided and improving learning algorithm and so on. Experimental result shows that optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.
Keywords :
backpropagation; geographic information systems; geophysical image processing; image classification; neural nets; remote sensing; unsupervised learning; BP neural network; GIS data; adaptive capacity; back propagation; classification accuracy; image classification; learning algorithm; remote sensing; self learning; Artificial intelligence; MATLAB; Artificial neural network; BP; Classification; LM; Remote sensing;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622825
