Processing Different Resolution Remote Sensing Images Based on Images Merging Techniques

Authors

  • Heba Kh. Abbas, Nada A. Al-Fatah, Ban S. Esmael, Ahmad E. Khudhair

Abstract

The aim of this study is to study the quantitative analysis (statistical and edge) for satellite images fusion use effective and important methods in the fusion process in order to obtain image that contain more informative (spectral and spatial resolution) of any of the images before the merger process and study the quality of the images before and after fusion using the statistical measures depending on the supervised classification methods to determine the quality and efficiency of these  processes to solve problems that suffering from satellite images resulting from various satellite imaging platforms.

Published

2020-11-01

Issue

Section

Articles