20 September 2001 Knowledge-based artificial neural network and the application of it in understanding remotely sensed images
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Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441692
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
The Artificial Neural Network (ANN) is an intelligent computer system bases on the empirical learning of the human being. Knowledge-Based Artificial Neural Networks (KBANN) effectively combines the knowledge learnt from theory with that of learnt from examples. This efficient combination of theory and data may result in efficient learning system. And the method of building a KBANN solves the problem that how to design the structure of the neural network. According to the way of building a KBANN, interpreting system of Remotely-Sensed images can be built.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunxiang Wu, Chunxiang Wu, } "Knowledge-based artificial neural network and the application of it in understanding remotely sensed images", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441692; https://doi.org/10.1117/12.441692
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