Title :
Classification Method Based on Multilayer Tree-Structured Neural Network for Remote Sensing Images of Tianjin Development Area
Author :
Zheng, Xiao-shen ; Liu, Wen-Ling
Author_Institution :
Tianjin Univ. of Sci. & Technol., Tianjin
Abstract :
Classification has been widely applied in images information mining. In this paper, the classification methods based on multilayer tree-structured neural network for remote sensing images of Tianjin development area is presented as an extended version of the classification algorithms in neural network, which has a dynamic tree-structure generated during the training process and its´ growth speed can be controlled through the weight of network, and the user can get the hierarchical results through changing the weight of network in different steps.
Keywords :
data mining; geophysical signal processing; image classification; learning (artificial intelligence); neural nets; remote sensing; tree data structures; Tianjin development area; image information mining; multilayer dynamic tree-structured neural network; remote sensing image classification; training process; Classification tree analysis; Cybernetics; Educational institutions; Electronic mail; Machine learning; Machine learning algorithms; Marine technology; Multi-layer neural network; Neural networks; Remote sensing; Classification; Information mining; Neural network; Remote sensing images;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370756
