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基于相似性挖掘的遥感SST评估和订正技术

Evaluating and revising technology of SST based on similarity mining

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【作者】 沈立炜徐凌宇方晓君张娜孙士杰

【Author】 SHEN Li-wei,XU Ling-yu,FANG Xiao-jun,ZHANG Na,SUN Shi-jie(School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China)

【机构】 上海大学计算机工程与科学学院

【摘要】 针对遥感反演精度受大气环境干扰较重,特别是云、雨,尤其是在水汽丰富海域反演数据的可靠性不易把握的特点。根据对卫星遥感温度信息的精度和信度,提出了一种相似性评判法则,即借助相似性理论将待测等温线与历史等温线比较来修正海表面温度。实验结果表明,给定方法可以提高数据反演精度,特别是遥感数据质量较差的区域效果明显。

【Abstract】 According that the remote sensing retrieval precision is harmfully disturbed by the atmosphere environment,in particular the clouds and rain,especially the characteristics that it is difficult to grasp the reliability of retrieval data in the sea delimitation which has plenty of water vapor.Based on precision and credibility of the satellite remote sensing information,a similarity judge rules is raised that comparing the isotherm with the historical one to revising the sea surface temperature according to the similar theory.The experi-mental testing result shows that this given method could improve the precision of retrieval data,particularly the regional remote sensing data with poor quality.

【基金】 国家863高技术研究发展计划基金项目(2006AA09Z138);国家重大科技攻关基金项目(908-03-01-05)
  • 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2008年20期
  • 【分类号】TP751
  • 【被引频次】1
  • 【下载频次】94
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