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作 者:林溢园 邹巨洪[2,3] 林明森[2,3] 何原荣[4] Lin Yiyuan Zou Juhong Lin Mingsen He Yuanrong(College o.f Software, Beij ing Universi 2.National Satellite Ocean ty A of Aeronautics and Astronautics,Beijing 100191 .China pplication Service ,Beijing 100081 .Chin Key Laboratory of Space Ocean Remote Sensing and Application,Beijing 100081 .China Xiamen University of Technology ,Xiamen 361024 ,China)
机构地区:[1]北京航空航天大学软件学院,北京100191 [2]国家卫星海洋应用中心,北京100081 [3]国家海洋局空间海洋遥感与应用重点实验室,北京100081 [4]厦门理工学院,福建厦门361024
出 处:《遥感技术与应用》2017年第1期126-132,共7页Remote Sensing Technology and Application
基 金:国家自然科学基金项目(41476152);国家自然科学基金委和山东省联合基金项目(U1406404)
摘 要:风场数据融合技术以更小的代价、更短的时间来获取更丰富的风场信息,为海洋风场业务化预报提供高空间分辨率的数据源。为了有效发挥卫星遥感数据在海洋风场监测中的作用,基于变分估计方法,利用HY-2A/SCAT、METOP-A/ASCAT和Oceansat-2/SCAT的星载微波散射计数据,开展了融合技术研究,并以中国近海为例给出了卫星遥感海面风场的数据融合结果。海面风场数据融合结果表明,多源风场的融合结果明显优于单一卫星的观测结果,如果采用三颗卫星的观测进行融合,得到的融合结果与实际风场将更加相符,特征更加明显。The technology shorter time, and provide of wind field data fusion can acquire the global wind field with smaller cost and high spatial resolution data for ocean surface wind field forecasting. In order to make a good use of satellite remote sensing data in sea surface wind field monitoring,this paper researches the data fusion technique using the spaceborne microwave scatterometer data of HY-2A/SCAT, METOP A/ASCAT,and Oceansat-2/SCAT.The wind field data fusion method is based on variation estimation.Tak- ing China offshore area as an example,the fusion results of satellite remote sensing wind field data are giv en out.The results indicate that the sea surface wind field acquired by multi-source data fusion is better than that measured by single satellite.The ocean surface wind vector,that acquired by fusion using the sat- ellites data mentioned above, is more consistent with the actual wind field and its character is more obvious.
分 类 号:TP75[自动化与计算机技术—检测技术与自动化装置]
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