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面向重要人工地理实体的变化信息快速采集技术

郭艳薇 蔡大媛 夏佳毅

北京测绘2025,Vol.39Issue(3):259-262,4.
北京测绘2025,Vol.39Issue(3):259-262,4.DOI:10.19580/j.cnki.1007-3000.2025.03.002

面向重要人工地理实体的变化信息快速采集技术

Rapid collection technology for change information of important artificial geographic entities

郭艳薇 1蔡大媛 1夏佳毅2

作者信息

  • 1. 广东省地图院,广东 广州 510075
  • 2. 江苏省基础地理信息中心,江苏 南京 210013
  • 折叠

摘要

Abstract

This paper analyzed the technical difficulties encountered in the collection of change information of important artificial geographic entities in multiple surveying and mapping projects.Through the rapid production of important natural resource element samples and the optimization of deep learning interpretation technology for multi-scale remote sensing surface features,a rapid collection technology for change information of important artificial geographic entities was proposed,which improved the efficiency of collecting change information of natural resource element buildings(structures)at different periods and reduced labor costs in the production process.Through the deep learning method for remote sensing images,the multi-scale and multi-element change information was rapidly collected,showing high application value for the rapid update of important artificial geographic entities.

关键词

人工地理实体/变化信息/深度学习/快速采集

Key words

artificial geographic entity/change information/deep learning/rapid collection

分类

测绘与仪器

引用本文复制引用

郭艳薇,蔡大媛,夏佳毅..面向重要人工地理实体的变化信息快速采集技术[J].北京测绘,2025,39(3):259-262,4.

基金项目

江苏省自然资源科技项目(2023008) (2023008)

北京测绘

1007-3000

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