Optics and Radar Image Fusion Based on Image Quality Assessment

Abstract

In many applications the image quality of remote sensing data is of fundamental importance and is usually assessed by visual analysis subjective to the interpreter. In many situations, a single sensor is not sufficient to provide an accurate perception of the real world. Data and image fusion is a common way to overcome this problem. The basic objective of data fusion is to derive a higher amount of information compared to that what would have from any individual input sensor. Therefore, multi-sensor data fusion has become an intense research area in recent years. The first part of this present work goes in this direction.