吴瑞娟,何秀凤

• 1:内江师范学院地理与资源科学学院
• 2:河海大学地球科学与工程学院

摘要(Abstract)：

为提高滨海湿地变化检测的精度,该文以合成孔径雷达(SAR)与光学影像各自优势和互补性为切入点,研究SAR与光学影像数据融合的变化检测新方法。提出了高分SAR与光学影像特征自适应融合方法,选用江苏盐城滨海湿地TerraSAR-X、高分三号SAR影像和资源三号光学影像进行实验。研究结果表明,自适应加权的多特征融合方法优于传统多特征融合方法,虚检率明显降低。相比于传统像元级、对象级、SG-PCAK和SG-RCVA-RF变化检测方法,显著图引导的结合像元级与对象级变化检测方法提高了变化检测精度。

关键词(KeyWords)： 遥感变化检测;特征融合;显著性检测;不确定性指数;随机森林;滨海湿地

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41830110,41871203);; 内江师范学院科研资助项目(2019YZ02)

作者(Author): 吴瑞娟,何秀凤

DOI: 10.16251/j.cnki.1009-2307.2020.11.014

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