Sixth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018
Author(s) : SIM HUI TEE , SIN LIANG LIM , SIN TING LIM
Digital Elevation Model (DEM) is a digital model representation of the surface of a terrain. It consists of elevation values sampled at regular intervals which could be used to study vast types of phenomena across spatial positions. However, acquisition of DEM data in continuous sequences at very high spatial resolution is very costly from the point of cost, manpower, and storage requirement. In this paper, we propose a method to visualize the morphological changes for a same area over a period using two DEM images. Through mathematical morphology approach, the interpolated sequences between these pair of DEMs are hierarchically generated. These set of hierarchically interpolated medians paves a way to visualize the spatiotemporal changes which have happened in a particular area at discrete-time intervals. The potential application which we could implement the proposed framework include natural disaster surveillance and monitoring (eg. Landslide, flood, earthquake).