遥感数据融合的进展与前瞻

遥感数据融合的进展与前瞻 Progress and future of remote sensing data fusion 张良培 ZHANG Liangpei 1 2 first-author 沈焕锋 SHEN Huanfeng 2 3 武汉大学测绘遥感信息工程国家重点实验室 武汉大学测绘遥感信息工程国家重点实验室 State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing,Wuhan University State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing,Wuhan University 武汉大学地球空间信息技术协同创新中心 武汉大学地球空间信息技术协同创新中心 Collaborative Innovation Center of Geospatial Technology, Wuhan University Collaborative Innovation Center of Geospatial Technology, Wuhan University 武汉大学资源与环境科学学院 武汉大学资源与环境科学学院 School of Resource and Environmental Sciences, Wuhan University School of Resource and Environmental Sciences, Wuhan University 数据融合是提升遥感影像应用能力的重要手段,一直是遥感信息处理与应用领域的研究热点。本文系统综述了遥感数据融合的进展与前瞻:首先对数据融合的层次与分类进行了总结和归纳,将遥感数据融合划分为同质遥感数据融合、异质遥感数据融合、遥感—站点数据融合、遥感—非观测数据融合4大类;在此基础上,重点针对时—空—谱光学遥感数据的融合,从多视超分辨率融合、多尺度融合、空—谱融合、时—空融合、时—空—谱一体化融合等方面进行了详细阐述;最后总结了遥感数据融合的前瞻研究方向,包括时—空—谱一体化融合的拓展、空天地观测数据的跨尺度融合、传感网环境下的在线融合、面向应用的融合方法等。 Data fusion is an important means of improving the applicability of remote sensing images, and has long been a hot research topic in the remote sensing field. This paper reviews the progress and future of remote sensing data fusion. First, the hierarchy and category of data fusion are summarized, and remote sensing data fusion methods are classified into four categories, namely, homogeneous data fusion,heterogeneous data fusion, fusion for remote sensing observation and station data, and fusion for remote sensing observation and non-observed data. Second, this paper discusses spatio-temporal-spectral fusion of optical remote sensing data, including multi-view spatial fusion,multi-scale fusion, spatio-spectral fusion, spatio-temporal fusion, and integrated spatio-temporal-spectral fusion. Third, this paper discusses the prospective direction of remote sensing data fusion literature, including the extension of integrated spatio-temporal-spectral fusion,across-scale fusion from aerospace to ground observations, online fusion in sensor web environment, and application-oriented fusion. 遥感影像 数据融合 时—空—谱一体化 多源 传感网 remote sensing image data fusion spatio-temporal-spectral integration multi source sensor TP751 国家自然科学基金重点项目（编号:41431175）;国家自然科学基金项目（优青）（编号:41422108）~~ 2021-06-09 5 20