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作 者:付莉娜 王光飞 王子豪 FU Lina;WANG Guangfei;WANG Zihao(Shaanxi Siwei Shubang Technology Co.,Ltd.,Xi'an 710000,China;Shandong Hengyuan Geographic Information Technology Co.,Ltd.,Jinan 250000,China;Shandong Haihui Surveying and Mapping Co.,Ltd.,Jinan 250000,China)
机构地区:[1]陕西四维数邦科技有限公司,陕西西安710000 [2]山东恒远地理信息技术有限公司,山东济南250000 [3]山东海慧勘察测绘有限公司,山东济南250000
出 处:《经纬天地》2024年第1期76-80,共5页Survey World
摘 要:在当今万物互联的大数据时代,地理数据的更新非常快,采集方式非常广泛。从传统的人工测绘、测量采集到现在的高精设备的扫描采集方式,技术不断进步,不断提高地理数据的更新效率以及地理要素的全面性。本文主要基于导航电子地图的传统技术流程,以人工智能图像识别技术为研究载体,深入探究现实的地理要素,导航数据的识别方式、方法,并应用于实践。In the era of big data in which everything is interconnected,the rapid updating and collection methods of geographic data are very extensive.From traditional manual surveying and mapping,measurement and acquisition to the current scanning and acquisition methods of high-precision equipment,technology continues to advance,continuously improving the efficiency of updating geographical data and the comprehensiveness of geographical elements.This article is mainly based on the traditional technical process and rich work experience of navigation electronic map mapping.Through the development of science and technology,more efficient and cuttingedge artificial intelligence image recognition technology is used as the research carrier,which deeply explores the recognition methods and methods of realistic geographical elements and navigation data,and guides the application in practical work.
分 类 号:P258[天文地球—测绘科学与技术]
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