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基于多元变化检测的相对辐射校正方法通过阈值获取校正点,该方法的校正结果优于传统人工参与的校正方法。文章对方法中阈值选择以及自然景观特征等影响因素做了进一步研究,选择北京市平原区和山区的各2期TM影像作为数据源,运用均方根误差和变异系数2个统计特征参数比较和评价校正结果,结果表明:基于多元变化检测的相对辐射校正方法获得的结果有利于后续数据分析;不同阈值获得的校正结果没有明显差异;不同自然景观特征对该方法影响程度不同。
The relative radiation correction method based on multivariate change detection obtains the correction point through the threshold, and the correction result of the method is superior to the traditional manual correction method. In this paper, we further study the influencing factors of threshold selection and natural landscape characteristics in this method. Two TM images of plain area and mountain area in Beijing are selected as data sources. The RMSE and coefficient of variation are used to compare two statistical characteristics The results showed that the results obtained by the relative radiation correction method based on multivariate change detection were favorable to the subsequent data analysis. The correction results obtained by different thresholds showed no significant difference. The influence of different natural landscape characteristics on the method was different.