用气象卫星数据对冬小麦进行估产的试验

The NOAA is a special meteorological satellite. The first and second channels of the AVHRP (the sensor of NOAA) are much similar to the fifth and seventh channels of the resource satellite MSS, and their corresponding spectral response curves are much alike. The AVHRR'S first channel has a higher reflectivity from soil, and the second channel is highly reflected by vegetation. By virtue of its wide sensitivity range, multiple reception orbitals, economical and convenient, it has been used in the W.S.A. in the agricultural estimation.According to the characteristic spectra from the vegetation, and through the digital exchange of the measuraed values on the first and second channels of the NOAA/AVHRR, We established a servies of green models which can be need in making agricultural estimation satisfactorily.As expesimentally showed that these green models highly correlated to the yeild of crops. This has been presently becoming the main information sources for yield estiraatings. With the forecast of the     

基于自适应阈值的SA雷达发射机故障重构预警方法研究

新一代天气雷达的故障识别和判定一直是雷达运维面临的技术挑战，部分严重故障的滞后响应会导致雷达相应部件的损坏加剧。本文在结合人工智能技术和雷达数据特点的基础上，提出了基于自适应阈值的SA雷达发射机系统故障预警和判定方法，建立了基于重构模型的发射机故障在线监测的算法框架。该算法框架能够在雷达发射机故障发生早期识别异常并给出预警。采用实际运行记录进行计算分析，并验证了该方法在实际运行中有效可用。