地理国情监测遥感数据源比选方法研究

随着遥感技术的快速发展，遥感新设备、新方法不断出现，遥感数据来源不断扩大、种类不断增加、质量不断提升，遥感数据在地理国情监测中的应用也更加广泛。但由于遥感数据源过于复杂且数据量庞大，地理国情监测数据源的选取成为一个难题。基于地理国情监测的主要目标，选择遥感数据源的主要质量因子，采用一定的赋权方法对其进行评价比较，可实现数据源的最优选取。本文提出了一种结合主观专家评价和客观熵值计算的比选方法，归纳数据源的主要质量因子，构建指标体系，并对各因子赋权计算评价值，实现了对地理国情监测数据源的评价比选，试验证明了本文方法的有效性。

Research on comparison and selection methods of remote sensing data sources for geographic national conditions monitoring

With the rapid development of remote sensing technology, new remote sensing equipment and methods are constantly emerging. The sources of remote sensing data are expanding, the types of remote sensing data are increasing and the quality of remote sensing data is improving. The application of remote sensing data in geographic national conditions monitoring is also more extensive. However, due to the complexity of remote sensing data sources and the huge amount of data, the selection of geographic national conditions monitoring data sources has become a difficult problem. Based on the main objectives of geographic national conditions monitoring, the optimal selection of data sources can be achieved by selecting the main quality factors of remote sensing data sources. This paper uses certain weighting methods to evaluate and compare them. A method of comparison and selection combining subjective expert evaluation with objective entropy calculation is presented. The method generalizes the main quality factors of data sources, constructs the index system, calculates the evaluation value using various weighted factors, evaluates and compares the data sources for geographic national conditions monitoring. Experiments show the effectiveness of this method.