A Novel Image Fusion Technique Using Multi Resolution Analysis (MRI) Neural Networks
Volume: 4 - Issue: 12 - Date: 01-12-2015
Approved ISSN: 2278-1412
Published Id: IJAECESTU364 | Page No.: 712-717
Author: Kalpana Rai
Co- Author: Dr. S. Bhuvaneshvari
Abstract:-—Present work describes a promising method in image fusion remote sensing
applications. Due to intrinsic properties of neural networks (DNN) in image reconstruction,
a novel Image Fusion Technique presents based on multi resolution analysis (MRA)
framework. First, a low resolution Panchromatic (LR Pan) image is constructed using its
high resolution (HR) version. Then, the relationship between LR/HR Pan images are used
to reconstruct the HR Multispectral (MS) image utilizing the LR MS. For our work, two
datasets are considered and for each of them, the effect of several parameters such as
window size, overlapping percentage and number of training samples on spectral distortion
are considered. After training DNN, the LR MS image is given to the trained network as
input to obtain MS image with better spatial details and finally the fused image obtains
using MRA framework. Comparison with state of art methods, the proposed method has
better results from objective and visual perspectives.
Key Words:-Pansharpening; multi resolution analysis; neural networks
Area:-Engineering
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