Analysis of Urban Spatial Structure based on Index Superposition and Color Distance Calculation: An Example based on the City of Honghu

Abstract

Superposition of multiple index method is used to construct index-fusion remote sensing images, and color statistical analysis and color distance calculation are carried out for urban areas in the fusion remote sensing images to automatically extract the large-scale construction land. The evaluation of the accuracy of the automatically extracted construction land can be done by using high precision Google Earth images. Center of gravity of the automatically extracted construction land is taken as the measurement index of urban spatial distribution, and the dynamic changes of urban spatial structure are analyzed according to the center of gravity. Experiments show that this method can effectively distinguish construction land from other ground objects, thus realizing the high accuracy extraction of construction land. And the center of gravity of Honghu City shows a development pattern and its possible influencing factors for small cities in central China.