The Information Fusion in Remote Sensing Based on Wavelet Neural Network
MI Hai-ying · Microelectronics & Computer · 2006
The method of remote information fusion that is based on wavelet neural network is brought forward,which fuse remote sensing information in characteristic class.Therefore using the improved GA optimized the time frequency that is aim at the problem of dimension disaster ,thereby it make sure the conceal layer node of whole wavelet network.The result of emulator indicate that the make sure of this wavelet neural network have excellent on simple network structure and quickly speed on convergence ,which testify the method is better than sutra arithmetic.