测绘通报 ›› 2020, Vol. 0 ›› Issue (6): 145-148.doi: 10.13474/j.cnki.11-2246.2020.0198

• 技术交流 • 上一篇    下一篇

图像识别在互联网“问题地图”监控中的应用

黄龙, 吴佳桐   

  1. 自然资源部地图技术审查中心, 北京 100830
  • 收稿日期:2019-10-21 出版日期:2020-06-25 发布日期:2020-07-01
  • 作者简介:黄龙(1988-),男,硕士,工程师,主要从事互联网地理信息监管和地图审查工作。E-mail:502425199@qq.com

Application of image recognition in internet “problem map” monitoring

HUANG Long, WU Jiatong   

  1. Map Supervision Center, Ministry of Natural Resources, Beijing 100830, China
  • Received:2019-10-21 Online:2020-06-25 Published:2020-07-01

摘要: 本文对互联网“问题地图”监控的发展历程进行了回顾,阐述了全国互联网“问题地图”监控网络和工作机制,分析了当前互联网“问题地图”监控工作中存在数据量过大,难以及时准确发现及违法成本低,难以有效减少“问题地图”发生的两大难点。对比分析了图像识别技术在互联网“问题地图”监控工作中实际应用的两种方法,分析了两种方法在不同场景中的应用,为各级自然资源主管部门依法履职,利用图像识别技术进一步做好互联网“问题地图”监控工作提供了参考。

关键词: 问题地图监控, 图像识别, 问题地图, 互联网地图, 地图监管

Abstract: This paper introduces the development course of internet problem map monitoring, expounds the current national internet problem map monitoring network and its working mechanism, and analyzes two difficulties of current internet problem map monitoring.Too much data is difficult to find in time and accurately, and low illegal cost is difficult to effectively reduce the occurrence of problem map. At the same time, this paper compares and analyses two methods of image recognition technology applied in internet problem map monitoring. This paper analyzes the application of two methods in different scenes, and provides a reference for the competent departments of natural resources at all levels to perform their duties in accordance with the law, and further completes the internet “problem map” monitoring work by using image recognition technology.

Key words: problem map monitoring, image recognition, problem map, internet map, map supervision

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