摘要
本文立足城市用地监测面临的人工调绘费时费力、大范围地物变化信息缺失及违建用地监管取证不及时等现状,引入先进的遥感处理技术和人工智能算法进行快速、准确识别地物类别,对比出变化地类,对识别违法用地、违章建筑监管起到重要作用,以短周期重访的优势弥补测绘信息更新的滞后性,实现快速、准确、低成本的城市建筑物动态解译分析。
Aiming at the current situation of time-consuming drawing and laborious drawing,lack of large-scale land change information,untimely supervision and evidence collection of illegal construction land,this paper introduced a advanced remote sensing processing technology and artificial intelligence algorithms to quickly and accurately identify the types of land,compared the changing types of land,which played an important role in the dynamic identification of construction land.The advantage of short-period revisiting made up for the lag of surveying and mapping information updating,and realized fast,accurate and low-cost dynamic interpretation and analysis of urban buildings.
作者
张超
刘昭贤
ZHANG Chao;LIU Zhaoxian(Hebei Second Institute of Surveying and Mapping,Shijiazhuang Hebei 050031,China)
出处
《北京测绘》
2023年第6期885-891,共7页
Beijing Surveying and Mapping
关键词
遥感影像
智能影像库
样本增强
特征识别
动态解译
remote sensing image
intelligent image database
sample enhancement
feature recognition
dynamic interpretation
