对地观测传感网一体化数据融合与同化方法2011—2013年度报告

黎夏 刘小平 盛艳玲 姚尧

摘 要：为了综合有效地利用对地观测传感网环境下的空天地多源海量观测数据，融合互补信息并消除数据冗余，需要实现对多源传感器数据在时间、空间和光谱域的高精度同化，发展对地观测传感网数据与陆面模式的多参数联合同化方法，充分研究多源数据智能化处理与分析模型，并进行多层次信息融合。重点研究内容包括：离群点分布模型与高精度亚像素配准方法、多时-空-谱影像序列的一体化融合方法、传感网环境下空天地观测数据的同化方法、传感网数据与陆面模式的多参数联合同化方法四个方向开展研究。 根据2010年制定的计划任务书，该研究在2011—2013年度收集大量航空航天遥感影像数据、基础地理数据和气象观测数据和地面数据，重点从自动化配准、遥感影像融合、数据同化等方面的理论方法研究。研究工作按计划有条不紊的进行，在观测数据收集与分析、理论与方法研究方面开展了大量工作。

关键词：影像配准 影像融合 时空融合 地理模拟 数据同化 遥感应用

Abstract：We precisely assimilate multiple-source sensor data in the time， space， and spectral domains and develop a multi-parameter method to jointly assimilate Earth sensor network observation data and a land model. We also fully investigate a multiple-source， intelligent data treatment and analysis model and combine multi-level information to comprehensively and effectively obtain multi-source， mass observation data from space and from Earth via the sensor network， integrate complementary information， and eliminate redundancy. This study focuses on the four following research methods： The off-group， point distribution model and high-precision， sub-pixel registration method， the integrated， multiple time-space image-sequence fusion method， the method to assimilate observation data obtained from space and from Earth via the sensor network， and the multi-parameter method to jointly assimilate sensor network observation data and a land model. The research group obtained much aerospace remote-sensing， basic geographic， meteorological observation， and ground data from 2011 to 2013 and mainly examined automatic registration， remote-image fusion， and data assimilation based on the Preliminary 973 Program Plan implemented in 2010. The research tasks undertaken by this group， which included the collection and analysis of observation data and investigations into theory and methodology， were conducted according to plan. The research group published one monograph and 44 research papers from 2011 to 2013； 34 papers were published in the Science Citation Index journal and five were published in Earth Interaction. The members of this research group lectured 13 times in both domestic and international academic conferences. Eight PhD and eight Masters graduate students have been trained. Professor Liu Xiaoping， who is the head of this research group， has been awarded the 2011 National Excellent Doctoral Dissertation Award.

Key Words：Image registration； Image fusion； Spatio-temporal fusion； Geographic simulation； Data assimilation； Remote sensing application

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