摘要
21世纪我国的科技高速发展,各类新型产业不断涌现,遥感影像技术便是其中的佼佼者。遥感影像可以采集丰富的信息,但这也使相关人员面临信息难以归类整理的困难,而新出现的人工智能技术解决了这一难题。人工智能是给机器编译程序,让其具有相应的学习能力,可以有效利用互联网或者计算机的资源实施无人或有人参与的遥感影像信息分类。文章首先阐述了遥感影像技术和人工智能技术的定义,并探讨了遥感影像技术和人工智能之间的关系,之后重点研究了人工智能在遥感影像分类中的应用,以供参考。
With the rapid development of science and technology in China in the 21st century, various new industries are emerging. Remote sensing image technology is an outstanding one of them. Remote sensing images can collect abundant information, but this also makes it difficult for relevant personnel to classify and organize information.The emerging artificial intelligence technology solves this problem. Artificial intelligence is to compile programs for machines, so that they have the corresponding learning ability, and can effectively use the resources of the Internet or computers to implement unmanned or attended classification of remote sensing image information. This paper first expounds the definition of remote sensing image technology and artificial intelligence technology and discusses the relationship between them. Then, it focuses on the application of artificial intelligence in remote sensing image classification for reference.
作者
刘一君
Liu Yijun(Gansu Zhenqi Meishang Engineering Design Co.,Ltd.,Lanzhou,Gansu 730000)
出处
《工程技术研究》
2022年第13期244-246,共3页
Engineering and Technological Research
关键词
人工智能
机器学习
遥感影像
artificial intelligence
machine learning
remote sensing image
