A New Technology of Remote Sensing Image Fusion
Abstract: Wavelet packet
transform stands out in the field of image fusion for its good frequency
characteristics, and pulse coupled neural network (PCNN) has a unique advantage
in image processing. To resolve the problem of multi-spectral remote sensing
image fusion, in this paper, we put forward an algorithm combined the wavelet
packet and PCNN based on HIS transform.The algorithm will be carried out as follows.
Firstly, the TM images will be converted into HIS space, and then the luminance
component and the high-resolution image will be broken into multi-scale by
wavelet packet. Secondly, according to the frequency domain characteristics of
the wavelet packet decomposition, we respectively use a method of weighted
average in the low-frequency domain and a method of PCNN in the high frequency
domain to select reconstruction coefficient.We can get a fused luminance
component by taking inverse wavelet packet transform to be reconstructed.
Finally, we can obtain the fusion image by taking inverse HIS transform. The
experimental results show that the algorithm can be not only to retain the
spectral information, but also greatly improve the spatial resolution of multispectral
images, has a good fusion effect
Author: Wei Feng, Wenxing Bao
Journal Code: jptkomputergg120082