现代信息科技2024，Vol.8Issue(2)：141-144,4.DOI:10.19850/j.cnki.2096-4706.2024.02.030
基于无人机影像城市建筑物的分类制图与统计
Classification Mapping and Statistics Based on UAV Image Urban Buildings
摘要
Abstract
Buildings are the main places of human life,and classification and statistics of them can provide the necessary basic data and information for urban planning,resource management,disaster risk assessment,environmental monitoring,and other important matter,thereby supporting the formulation of correct decisions and the sustainable development of cities.To solve the problem of small spacing between buildings in remote sensing images,a classification mapping and statistics of UAV image buildings in Anqing urban area are carried out based on the random forest algorithm in machine learning and multi-scale segmentation.The results show that the classification accuracy of this method is 0.873 4,and the Kappa coefficient is 0.762 7.Through comparative analysis using visual interpretation,it is found that this method is feasible for building classification.关键词
建筑物/无人机影像/分类/遥感应用Key words
building/UAV image/classification/remote sensing application分类
天文与地球科学引用本文复制引用
陈梁,余学祥,蒲涛,汤连盟..基于无人机影像城市建筑物的分类制图与统计[J].现代信息科技,2024,8(2):141-144,4.基金项目
2021年度安徽省科技重大科技专项(202103a05020026) （202103a05020026）
