摘要
随着人工智能、大数据的发展,深度学习也越来越广泛地应用于多个领域,极大地促进了遥感图像处理技术的发展。文章介绍了深度学习的主要神经网络模型、遥感技术和遥感图像处理的发展现状,总结了目前深度学习在遥感图像处理中的应用方法。
With the development of artificial intelligence and big data,deep learning is becoming more and more widely used in various fields,greatly promoting the development of remote sensing image processing technology.This paper introduces the current development of major neural network models of deep learning,remote sensing technology and remote sensing image processing,and summarizes the current methods based on deep learning in remote sensing image processing.
作者
蒋睿
杨靖欣
桂承熙
Jiang Rui;Yang Jingxin;Gui Chengxi(Urban College of Southwest University of Science and Technology,Mianyang 621000,China)
出处
《无线互联科技》
2022年第5期89-92,共4页
Wireless Internet Technology
基金
基于OBE的课程组建设探索与实践,项目编号:CC-NL1901。
关键词
深度学习
遥感技术
遥感图像
神经网络
deep learning
remote sensing technology
remote sensing images
neural network
