深度学习在遥感图像处理中的应用

Application of Deep Learning in Remote Sensing Image Processing

随着深度学习的不断发展,其应用领域与应用范围也在不断拓展,对人类的生产生活产生了重要影响,并有力推动了遥感图像处理技术的发展,对于提高遥感影像识别和分类精度具有重要意义。遥感图像处理的要求较高,单纯依靠人工处理遥感图像的难度较大。深度学习为遥感图像处理提供了新的思路与方法,解决了遥感识别与分类的问题。基于此,文中分析了遥感图像处理技术现状,探究了深度学习在遥感图像处理中的应用。

With the continuous development of deep learning,its application field and application range are also expanding,which has an important impact on human production and life,and has strongly promoted the development of remote sensing image processing technology,which is of great significance for improving remote sensing image recognition and classification accuracy.Remote sensing image processing has high requirements,and it is difficult to process remote sensing images solely by manual.Deep learning provides new ideas and methods for remote sensing image processing,and solve the problem of remote sensing recognition and classification.Based on this,this paper analyzes the current situation of remote sensing image processing technology and explores the application of deep learning in remote sensing image processing.