唐侃,邹波,汤振华,林坤,刘波

• 1:上海航天第802研究所
• 2:钱学森空间技术实验室

摘要(Abstract)：

针对现有遥感影像变化检测方法常存在的检测结果破碎、虚检较多、对数据匹配要求高等问题。提出了一种融合像素级和对象级的遥感图像变化检测方法。利用光谱和纹理信息构建单高斯模型,在多尺度上进行像素级变化检测。然后,以像素级检测结果为种子区域,同时在变化前后影像上区域生长,融合生长结果提取变化对象。最后,依据检测需求对变化对象进行特征分类并滤除虚警。实验结果表明,该方法降低了虚检,保持了变化区域的结构完整性,在变化前后图像分辨率存在一定差别时仍有较高的检测精度。

关键词(KeyWords)： 变化检测;单高斯模型;多尺度;变化对象;区域生长

Abstract:

Keywords:

基金项目(Foundation): 复旦大学电磁波信息科学教育部重点实验室开放基金项目(EMW201506)

作者(Author): 唐侃,邹波,汤振华,林坤,刘波

DOI: 10.16251/j.cnki.1009-2307.2017.05.018

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