任建设,王枭轩,张向军,禹小伟,余海坤

• 1:河南省中纬测绘规划信息工程有限公司
• 2:河南理工大学自然资源部矿山时空信息与生态修复重点实验室
• 3:河南省遥感测绘院

摘要(Abstract)：

针对变化检测方法对差异遥感影像去除斑点噪声和地物边缘检测效果不佳的问题，该文提出一种基于显著性卷积神经网络(SCWNN)的变化检测方法。该方法采用上下文感知显著性检测方法，提高遥感影像中差异较大区域显著性值，减小差异较小区域显著性值，有效优化了地物边缘，同时降低斑点噪声；然后采用卷积神经网络方法，克服了由于样本不足对变化检测精度的影响。通过超高分辨率影像和合成孔径雷达两组双时相遥感影像数据进行实验，结果表明方法的有效性和鲁棒性。

关键词(KeyWords)： 变化检测;显著性卷积神经网络;地物边缘;斑点噪声;遥感影像

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2016YFC0803103);; 河南省高校创新团队支持计划项目(14IRTSTHN026)

作者(Author): 任建设,王枭轩,张向军,禹小伟,余海坤

DOI: 10.16251/j.cnki.1009-2307.2022.09.023

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