基于大数据分析的高分辨率可见光遥感卫星影像解译能力评估OA

The continuous expansion of the application range of high-resolution visible light remote sensing satellite images has put forward higher requirements for their interpretation ability.In order to select the best remote sensing satellite image interpretation technology,it is necessary to accurately evaluate and judge the interpretation ability.Therefore,research on high-resolution visible light remote sensing satellite image interpretation ability evaluation based on big data analysis was conducted by using massive image data,and the influencing factors of remote sensing satellite image interpretation ability were analyzed.On this basis,combined with the actual situation of remote sensing satellite image interpretation,appropriate interpretation ability evaluation indicators were selected,and big data analysis technology was applied,namely fuzzy-c means(FCM)clustering algorithm,so as to classify and analyze the indicator data.The weight coefficient of interpretation ability evaluation indicators was calculated based on the entropy weight method.According to the value of interpretation ability evaluation indicators,the weighted sum method was used to calculate the comprehensive evaluation value of remote sensing satellite image interpretation ability,thus achieving effective evaluation of remote sensing satellite image interpretation ability.The experimental results show that the minimum evaluation time for remote sensing satellite image interpretation ability obtained by the proposed method is 16 seconds,and the evaluation results of interpretation ability are consistent with the actual results,fully confirming that the proposed method has better performance in interpretation ability evaluation.