Remotely Sensed Data Fusion as a Basis for Environmental Studies: Concepts, Techniques and Applications

Abstract

Following the dramatic qualitative and quantitative developments of remote sensing systems and digital imaging technologies, numerous kinds of images have been captured, processed and analyzed in several aspects of earth applications. Almost all of image sensors are designed for specific purposes therefore the utilization of remotely sensed data is very diverse. While these datasets are highly useful for some applications, for some others are incomplete, imprecise, and redundant. For example the information contained in hyperspectral and multispectral datasets provide a valuable basis for environmental studies while the low spatial resolution characteristics of these datasets reduce their performances in many applications. For VIII