A Quality of Images Fusion for Remote Sensing Applications
Abstract: Image fusion is a
useful tool for integrating low spatial resolution multispectral (MS) images
with a high spatial resolution panchromatic (PAN) image, thus producing a high
resolution multispectral image for better understanding of the observed earth
surface. It has has become an important
issue for various remotes sensing (RS) problems such as land classification,
change detection, object identification, image segmentation, map updating,
hazard monitoring, and visualization purposes. When applied to remote sensing
images, a common problem associated with existing fusion methods has been the
color distortion, or degradation in the spectral quality. The main proposed of
this research is to evaluate the quality
of fused images for object identification. We examine the effectiveness of the
following techniques multi-resolution
analysis (MRA) and component substitution (CS) fusion. In order to improve this
situation, the second purpose of this work is to establish an automatic and
reliable way for the evaluation of the fused images, on the basis of both
qualitative and quantitative metrics. In this result, It is found that the CS
fusion method provides better performance than the MRA scheme. Quantitative
analysis shows that the CS-based method gives a better result in terms of
spatial quality (sharpness), whereas the MRA-based method yields better
spectral quality, i.e., better color fidelity to the original MS images.
Keywords: Image fusion,
multispectral, panchromatic, object identification, fast Fourier transform
(FFT) -enhanced IHS (FFT-E)
Author: Yuhendra, Josaphat
Tetuko Sri Sumantyo
Journal Code: jptkomputergg160206
