Abstract. We present a pixel-level fusion method to refine the resolution of a multi-spectral image using a high-resolution panchromatic image. Our approach is an adaptation of the ARSIS method which takes into account the higher-order statistical moments of the wavelet coefficients. The use of the stationary wavelet transform allows the fusion between images of non-dyadic dimension with less “...

Spatial and spectral information are essential sources of in remote sensing applications, the fusion panchromatic multispectral images effectively combines advantages both. Due to existence two main classes methods—component substitution (CS) multi-resolution analysis (MRA), which have different advantages—mixed approaches possible. This paper proposes a algorithm that generalized intensity–hue...

Image fusion is the process of integrating multiple images of the same scene into a single fused image to reduce uncertainty and minimizing redundancy while extracting all the useful information from the source images. Image fusion process is required for different applications like medical imaging, remote sensing, medical imaging, machine vision, biometrics and military applications where qual...

There are many image fusion methods that can be used to produce high-resolution mutlispectral images from a high-resolution panchromatic (PAN) image and low-resolution multispectral (MS) of remote sensed images. This paper attempts to undertake the study of image fusion techniques with different Statistical techniques for image fusion as Local Mean Matching (LMM), Local Mean and Variance Matchi...

When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

A typical multi-resolution satellite sensor is working in several multi-spectral modes as well as a panchromatic mode with a much higher spatial resolution. The integration of panchromatic data into the standard multispectral analysis is not a straightforward procedure. The additional image information of the panchromatic band in combination with the multi-spectral bands however, allows to retr...

On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages ——higher spatial resolution can be acquired from the PCA transformation; however, more serious distortion of spectral characteristics can happen as well. While, the àtrous wavelet transformation is able to preserve spatial information; however, the result is lack of high spat...

The fusion of high-spectral but low spatial resolution multispectral and low-spectral but high spatial resolution panchromatic satellite images is a very useful technique in various remote sensing applications. Recently, some studies showed that wavelet-based image fusion methods provide a high quality spectral content of fused images. However, the spatial resolution of waveletbased fused image...

Pan-sharpening is the process of fusing a low resolution multispectral image with a high resolution panchromatic image to obtain a high resolution multispectral image. We propose a new pan-sharpening method called Variational Wavelet Pan-sharpening (VWP) that combines wavelet fusion and the edges of the panchromatic image as an energy minimization problem. Furthermore, we introduce additional e...

The objective of image fusion (or sometimes pan sharpening) is to produce a single image containing the best aspects of the source images. Some desirable aspects are high spatial resolution and high spectral resolution. With the development of space borne imaging sensors, a unified image fusion approach suitable for all employed imaging sources becomes necessary. Among various image fusion meth...