Study on the City Image of Maoming Based on Drone Photography Data

Abstract

This study is based on drone photographs and related data of Maoming City obtained from the social platform "Sky City." Through methods such as computer vision image analysis, kernel density analysis (KDA), and standard deviational ellipse analysis, the research explores the spatiotemporal distribution characteristics of drone-captured imagery, the visual features of the city image, and the clustering of city image elements. By analyzing the city image of Maoming from a “God’s-eye view,” the study offers insights into the construction of Maoming's city image and drone management, providing recommendations for enhancing urban design and improving the quality of urban space.