Through 2004-2006 water quality monitoring data statistics of Kaidu River, the writers analyze the result.
通过对开都河200 4 - 2006年水质监测数据进行统计分析。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
Issues that water quality auto monitoring technologies aim at are to realize remote data acquisition, and then automate the whole process of data transfer and process.
实现数据的远程采集，监测设备的远程监控，进而实现包括数据传输、处理在内的整个流程的自动化，是水质自动监测技术所要解决的核心问题之一。
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