气象科技进展2016，Vol.6Issue(1)：116-119,4.DOI:10.3969/j.issn.2095-1973.2016.01.018
静止与极轨气象卫星监测沙尘的融合算法研究
Study on the Fusion of Dust Products of Geostationary and Polar-Orbiting Meteorological Satellites Based on Improved Evidence Theory Algorithm
摘要
Abstract
The objective of this study was to integrate the advantages of multi-source remote sensing to monitor dust storms and better discriminate between regions where dust storms occur. Firstly, The traditional evidence theory algorithm was improved by not only considering the certainty of the evidence, but also considering the average level of support for the subsets of evidence in the discrimination framework in the process of evidence combination by reducing the conlfict between synthesized data. Then the algorithm is applied to the FY-2D/2E infrared difference dust index (IDDI) and the FY-3A dust strength index (DSI) to categorize the study region as either a dust storm area, non-dust storm area, or possible dust storm area. Finally, the result was validated and analyzed using the monitored data from ground stations. Both the accuracy and reliability of the dust monitoring results were considerably improved using our method.关键词
静止气象卫星/极轨气象卫星/红外差值沙尘指数/沙尘强度指数/改进的证据理论/数据融合Key words
geostationary meteorological satellite/polar-orbit meteorological satellite/infrared difference dust index/dust strength index/improved evidence theory algorithm/data fusion引用本文复制引用
曹广真,张鹏,胡秀清,陈林..静止与极轨气象卫星监测沙尘的融合算法研究[J].气象科技进展,2016,6(1):116-119,4.基金项目
资助信息北京市科技新星项目（2010B037）；国家自然科学基金 （）
