深度学习在高分辨率遥感影像解译中的应用研究

Application Research of Deep Learning in Interpretation of High Resolution Remote Sensing Images

传统的遥感影像解译方法难以满足海量高分辨率遥感影像数据的解译,因此分析了深度学习算法的主要特点,结合遥感影像工程解译,对比分析了深度学习算法与面向对象方法的各自特点,总结了各自优缺点。同时,提出了深度学习结合面向对象方法在遥感影像解译中的应用方法。

The traditional remote sensing image interpretation method is difficult to meet the interpretation of massive high-resolution remote sensing image data.This paper analyzes the main features of the deep learning algorithm.Interpretation with remote sensing image engineering,The advantages and disadvantages of deep learning and object-oriented methods are compared and analyzed.The application method of deep learning combined with object-oriented method in remote sensing image interpretation is proposed.