Intelligent Flow Feature Extraction and Multi-Resolution Visualization

This paper presents a selective and intelligent flow feature extraction method based on backward propagation(BP) neural network.By this method,users can select certain regions in concern as input samples to train the BP network.After the training process complete,the BP network is used to preprocess the new field data,to extract the regions in interests.A multi-resolution rendering method is designed based on "fisheye views" technology,with the field dataset represented as a binary tree structure,to promote the efficiency of the data rendering.Besides,a prototype demonstration system has been also designed,which could maintain the general picture of the data field with high resolution details shown on the interested regions.The result shows excellent interaction with users by our method.