Lacunarity as a Tool for Analyzing Satellite Images of Urban Areas

Abstract

This paper presents a study on the correlation between lacunarity and morphological characteristics of urban areas. In remote sensing images, morphological features of urban areas are represented by complex interactions of different types of surface, where each surface results in a different type of texture which depends on its physical properties (such as color, bright, reflectance etc). In this work, we estimate lacunarity from images of urban areas in order to estimate the complexity of the image textures and, consequently, to obtain a measure of the morphological characteristics of the urban areas.