邓少平,孙盛

• 1:中山市自然资源信息中心
• 2:广东工业大学

摘要(Abstract)：

针对近年来极化SAR影像深度学习分类研究取得了显著的进展,但仍缺少全面系统的对比分析问题,该文首先讨论了极化SAR处理与分类中常用的深度学习网络结构,然后使用极化SAR分类研究的典型数据集,对多个主要深度学习算法的分类结果进行了对比分析,并对常用极化目标分解在深度学习分类算法中的应用进行了对比。实验表明,各类算法有不同的适用场景,同一场景不同算法的精度有时表现很大的差异。深度网络的选择、网络参数的优化和极化信息的应用依旧是该领域未来重点研究方向。

关键词(KeyWords)： 极化雷达;机器学习;深度学习;分类;极化分解

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 邓少平,孙盛

DOI: 10.16251/j.cnki.1009-2307.2021.07.017

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