遥感卫星应用需求满足度的模糊评估

遥感卫星用户众多、需求各异，涉及的元素非常复杂，其应用需求满足度评价是一
个目前研究不多、难度较大的问题，但它对天基遥感对地观测系统设计、卫星组网规划、载荷
探测指标确定与应用系统研制等系列工作非常重要. 为此以高分辨率对地观测重大专项和空
间基础设施规划的需求调查资料为依据，设计了一种基于模糊评估思想的遥感卫星应用需求
满足度的评估方法. 从众多的应用元素和卫星工程指标中抽取了空间分辨率、时间分辨率、谱
段范围和光谱分辨率4个基本要素，建立了遥感应用需求的四参数模型，结合模糊综合评估思
想，设计了需求满足度评估的因素集、评价集和模糊隶属度函数，使用层次分析法实现权重分
配，选择加权平均型算子得到评估结果. 最后以多颗典型遥感卫星进行评估实验，将结果与国
际气象组织相应评价案例对比分析，表明了该方法的可行性.

Fuzzy Evaluation of Application Satisfaction for Remote Sensing Satellite

Reasonable evaluation of application satisfaction of remote sensing satellites is
crucial for the planning and design of earth observation systems. To deal with this problem,
a fuzzy comprehensive evaluation (FCE) method for remote sensing application satisfaction
is proposed. Based on the remote sensing application of the projects high resolution earth
observation system and space infrastructure planning, a remote sensing application model
is built with four data indicators of space resolution, time resolution, spectral range and
spectral resolution. With the FCE method, a factor set and an evaluation set are designed,
and a series of fuzzy membership function established. By calculating the weight with the
analytical hierarchical process (AHP) method, the final evaluation result is obtained from
a weighted average operator. Comparison between the World Meteorological Organization
(WMO) evaluation cases and the FCE evaluation results shows that using this method to
evaluate remote sensing satellite application satisfaction is feasible.