A Novel Remote Sensing Image Fusion Algorithm Using ICA Bases
Image fusion is the method of gathering information
from images obtained from sensors of differe... more Image fusion is the method of gathering information
from images obtained from sensors of different modalities in
order to create an image that is more detailed than the input
images. This paper presents a novel method for fusion of
low-resolution multispectral (MS) images with a high-resolution
panchromatic (PAN) image using Stationary Wavelet Transform
(SWT) and Independent Component Analysis (ICA). Here, the
MS image is modified using the PAN image at the wavelet
decomposition level, followed by performing fast ICA algorithm
on the individual bands, and thereby providing better resolution
to the output image. In this paper, we also use parameters like
correlation coefficient (CC), power signal-to-noise ratio (PSNR),
mean structural similarity measure (MSSIM) and edge stability
mean square error (ESMSE) to measure the quality of the fused
image. From experimental results, we observed that SWT method
efficiently preserves spectral information, while ICA efficiently
preserves spatial information. The proposed method is found
to show better performance compared to other standard fusion
methods like IHS fusion, PCA fusion, DWT fusion, SWT fusion
and ICA fusion.
Remote sensing image fusion is the method of gath-
ering information from images obtained from se... more Remote sensing image fusion is the method of gath- ering information from images obtained from sensors of different modalities in order to create an image that is more detailed than the input images. This paper presents a novel method for fusion of low-resolution multispectral (MS) images with a high- resolution panchromatic (PAN) image using Intensity Hue Saturation (IHS) transform and Stationary Wavelet Transform (SWT). Here, the intensity information of the MS image is modified using the intensity information of the PAN image at the wavelet decomposition level providing better resolution to the output image. Finally, CLAHE algorithm is also utilised for improving image’s edge quality. In this paper, we also use parameters like correlation coefficient(CC) and power signal-to- noise ratio(PSNR) to measure the quality of the fused image. From experimental results, we observed that SWT method provides better information ie., image quality. The proposed method is found to show better performance compared to other standard fusion methods like IHS fusion, PCA fusion and DWT fusion.
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Papers by Manu C S
from images obtained from sensors of different modalities in
order to create an image that is more detailed than the input
images. This paper presents a novel method for fusion of
low-resolution multispectral (MS) images with a high-resolution
panchromatic (PAN) image using Stationary Wavelet Transform
(SWT) and Independent Component Analysis (ICA). Here, the
MS image is modified using the PAN image at the wavelet
decomposition level, followed by performing fast ICA algorithm
on the individual bands, and thereby providing better resolution
to the output image. In this paper, we also use parameters like
correlation coefficient (CC), power signal-to-noise ratio (PSNR),
mean structural similarity measure (MSSIM) and edge stability
mean square error (ESMSE) to measure the quality of the fused
image. From experimental results, we observed that SWT method
efficiently preserves spectral information, while ICA efficiently
preserves spatial information. The proposed method is found
to show better performance compared to other standard fusion
methods like IHS fusion, PCA fusion, DWT fusion, SWT fusion
and ICA fusion.
ering information from images obtained from sensors of different
modalities in order to create an image that is more detailed
than the input images. This paper presents a novel method
for fusion of low-resolution multispectral (MS) images with a
high- resolution panchromatic (PAN) image using Intensity Hue
Saturation (IHS) transform and Stationary Wavelet Transform
(SWT). Here, the intensity information of the MS image is
modified using the intensity information of the PAN image at
the wavelet decomposition level providing better resolution to
the output image. Finally, CLAHE algorithm is also utilised
for improving image’s edge quality. In this paper, we also use
parameters like correlation coefficient(CC) and power signal-to-
noise ratio(PSNR) to measure the quality of the fused image.
From experimental results, we observed that SWT method
provides better information ie., image quality. The proposed
method is found to show better performance compared to other
standard fusion methods like IHS fusion, PCA fusion and DWT
fusion.