High Quality Bayesian Pansharpening


Fusion of low-resolution multispectral images with high resolution panchromatic images is known as pansharpening, and the result is a multi-spectral image with high spatial resolution. Using Bayesian theory, a new pansharpening method is proposed in this article. There are three main presuppositions that underlie this algorithm: 1) The geometric information in the pan-sharpened image is identical to that in panchromatic images; 2) The spectral information in both pan-sharpened and panchromatic images is identical; and 3) the neighbouring pixels in each pan-sharpened image channel are similar. The alternating direction approach of multipliers is used to solve our posterior probability model based on the above-mentioned assumptions. The suggested method outperforms the current state-of-the-art pansharpening algorithms in both reduced and full resolution tests. The novel approach is also proven to be effective in preserving information in both spectral and spatial dimensions. It has been demonstrated in additional trials that the proposed method can be extended to hyper-spectral picture fusion with great effectiveness.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Predicting Hot Events in the Early Period through Bayesian Model for Social Networks ABSTRACT: It is essential for a wide variety of applications, such as information dissemination mining, ad recommendation, and
PROJECT TITLE : Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering ABSTRACT: Matrix decomposition is one of the essential tools that must be utilized in order to extract useful information from the
PROJECT TITLE : Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging ABSTRACT: Electromagnetic brain imaging uses non-invasive recordings of magnetic fields and electric potentials
PROJECT TITLE : Variational Bayesian Blind Color Deconvolution of Histopathological Images ABSTRACT: In most whole-slide histology images, two or more chemical dyes are used. In digital pathology, slide stain separation or colour
PROJECT TITLE : Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation ABSTRACT: Quantitative cell biology relies heavily on being able to identify different cell compartments, cell types, and the ways

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry