Exploring possible aplications of fuzzy logic in imulation of three-dimensional visualisation using Remote Sensing data

Abstract

The paper explores various possibilities of application of fuzzy logic in simulating visualization of three-dimensional view of some area using remote sensing data. Author intends to use fuzzy logic for implementation of this task because of limited utilization of traditional algorithmic approach or logic in dealing with uncertainty and incomplete data and knowledge. At first, the paper illustrates the terms Fuzzy logic, Simulation, Three-Dimension, Visualization, remote sensing and remote sensing data. Then it dictates the inability and shortcomings of the traditional algorithmic and data representation approaches in handling the complexity involved with three-dimensional visualization and representation of both remote sensing data and information derived by analysis of remote sensing data. On the framework specified above, the paper further illustrates that we can apply fuzzy logic in most of the techniques used for three-dimensional visualization, both at hardware and software level. At last, the paper also explores the possibility of applying fuzzy logic in estimation of depth from stereo, texture, shading and motion, all in the context of simulation of three-dimensional visualization of remote sensing data.