遥感影像分类方法研究动态

Research Dynamics of the Classification Methods of Remote Sensing Images

遥感影像分类是遥感信息提取的关键技术,一直是遥感领域的研究热点。在介绍遥感图像分类过程和分类体系的基础上,综合了最近国内外遥感分类的方法技术,重点阐述了遥感影像分类在神经网络、SVM、主动学习、多分类集成等方面较新的研究动态,为遥感图像分类向自动化和智能化发展的进一步研究提供参考。

Remote sensing image classification is the key technology of remote sensing information extraction and has always been the research focus in the field of remote sensing. This paper introduces the process of remote image classification and the traditional classification techniques and methods. According to the recent research state of domestic and international remote sensing classification methods, the new study dynamics of remote image classification, such as artificial neural networks, support vector machines, active learning and ensemble multi-classifiers, were introduced, providing references for the automatic and intelligent development of remote sensing images classification.