Polygon-based Technique for Image Fusion and Land Cover Monitoring; Case Study World Islands/UAE

摘要

The vast increase in the volume of remotely sensed data has created the need for robust data processing techniques that can fuse data observed by different acquisition systems. Image registration is an essential process for data fusion and aligning images captured by different sensors under different geometric and radiometric properties where conjugate features in images can properly align with same object space. Accurate image registration of the collected multiple temporal images would guarantee full understanding of the phenomenon under consideration. To solve the registration problem, the paradigm consists of selecting the most proper primitives, a representative transformation function, appropriate similarity measure and matching scheme. In this study, polygon-based image registration segments have been used for co-registration as well as the main element for a reliable change detection procedure. Change detection has been implanted on Dubai World Islands/UAE from 2004 until 2016. The approach relies on pixel-pixel subtraction of edge the extracted polygons features. The study shows the various range of development for the world islands/Dubai that has been accrued during 12 years. Quantitative analysis based on growth areas and the Annual Urban Spatial Expansion Index shows that study area has been increased by 4 times during 12 years. Polygon features were successfully used for image registration and change detection.