徐世武,李亭谕,白晓飞,吴瀚

• 1:中国地质大学(武汉)地理与信息工程学院
• 2:中国国土勘测规划院
• 3:苏州市测绘院有限责任公司

摘要(Abstract)：

针对国土调查实地举证中,照片数量巨大、内容丰富、语义复杂,依靠人工按照土地利用分类标准解译费时费力且主观性过强的问题,该文提出一种基于注意力的照片土地利用场景语义深度学习解析方法,自动提取照片注意力区(主场景)的土地利用语义和分布信息。实验表明,该方法能够实现自然场景照片土地利用语义包的快速提取,成功应用于江夏区国土调查工作,为全国国土调查智能化提供了技术支撑。

关键词(KeyWords)： 显著式注意力;显著性语义解析;深度估计网络;语义分割;深度学习

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 徐世武,李亭谕,白晓飞,吴瀚

DOI: 10.16251/j.cnki.1009-2307.2021.12.028

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