黎夏 劉小平 盛艷玲 姚堯

摘 要：為了綜合有效地利用對(duì)地觀測傳感網(wǎng)環(huán)境下的空天地多源海量觀測數(shù)據(jù)，融合互補(bǔ)信息并消除數(shù)據(jù)冗余，需要實(shí)現(xiàn)對(duì)多源傳感器數(shù)據(jù)在時(shí)間、空間和光譜域的高精度同化，發(fā)展對(duì)地觀測傳感網(wǎng)數(shù)據(jù)與陸面模式的多參數(shù)聯(lián)合同化方法，充分研究多源數(shù)據(jù)智能化處理與分析模型，并進(jìn)行多層次信息融合。重點(diǎn)研究內(nèi)容包括：離群點(diǎn)分布模型與高精度亞像素配準(zhǔn)方法、多時(shí)-空-譜影像序列的一體化融合方法、傳感網(wǎng)環(huán)境下空天地觀測數(shù)據(jù)的同化方法、傳感網(wǎng)數(shù)據(jù)與陸面模式的多參數(shù)聯(lián)合同化方法四個(gè)方向開展研究。 根據(jù)2010年制定的計(jì)劃任務(wù)書，該研究在2011—2013年度收集大量航空航天遙感影像數(shù)據(jù)、基礎(chǔ)地理數(shù)據(jù)和氣象觀測數(shù)據(jù)和地面數(shù)據(jù)，重點(diǎn)從自動(dòng)化配準(zhǔn)、遙感影像融合、數(shù)據(jù)同化等方面的理論方法研究。研究工作按計(jì)劃有條不紊的進(jìn)行，在觀測數(shù)據(jù)收集與分析、理論與方法研究方面開展了大量工作。

關(guān)鍵詞：影像配準(zhǔn) 影像融合 時(shí)空融合 地理模擬 數(shù)據(jù)同化 遙感應(yīng)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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