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

( Vol-10,Issue-6,September - October 2024 )

Author(s): Jiaqiang Peng, Ruei-Yuan Wang, Rongrong Huang, Juncheng Liu, Pengsheng Yang

Total View : 297
Downloads : 14
Page No: 04-22
DOI: 10.22161/ijaems.106.2

Keywords:

Drone, Visual image analysis, Kernel density analysis (KDA), Standard deviational ellipse analysis, City image

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.

Received: 07 Sep 2024; Received in revised form: 05 Oct 2024; Accepted: 12 Oct 2024; Available online: 17 Oct 2024

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