遥感影像相对辐射校正的PIF方法

发布时间：2018-05-28 14:03

本文选题：多时相 + 相对辐射校正　；参考：《国土资源遥感》2017年01期

【摘要】：多时相遥感影像间的相对辐射归一化是进行遥感动态监测的前提。伪不变特征(pseudo-invariant feature,PIF)相对辐射校正法的校正效果在很大程度上取决于PIF点的选取。普通人工选点方法具有主观性强、选点数量及质量有限等缺陷。为解决上述问题,首先对2期TM影像进行精确几何纠正与配准;然后利用波段比值运算与PIF质量控制相结合的方法逐步细化PIF,以提高PIF的选取质量,降低其选取的主观性,并利用与对应样本点各波段的相关系数评价所选点的质量;最后利用所选取的合格PIF点,通过最小二乘回归分析获取增益与偏移量,并对2个时相的TM影像进行相对辐射校正。对校正前、后典型地物波谱曲线、均方根误差、归一化植被指数(normaliged difference vegetation index,NDVI)统计量等进行分析的结果表明,校正效果比较理想。
[Abstract]:The normalization of relative radiation between multitemporal remote sensing images is the premise of remote sensing dynamic monitoring. The correction effect of pseudo-invariant feature PIF relative radiometric correction depends to a great extent on the selection of PIF points. The common manual selection method has some defects, such as strong subjectivity, limited quantity and quality. In order to solve the above problems, the two periods of TM images are corrected and registered accurately, and then the method of combining band ratio operation with PIF quality control is used to refine the PIF gradually, so as to improve the selection quality of PIF and reduce the subjectivity of PIF selection. The quality of the selected points is evaluated by using the correlation coefficients of each band of the corresponding sample points, and the gain and offset are obtained by least square regression analysis using the selected qualified PIF points, and the relative radiometric correction of the TM images of two phases is carried out. The results of the analysis of the spectral curves of typical ground objects, root mean square error and normalized vegetation index (NDVI) statistics before and after correction show that the correction effect is satisfactory.
【作者单位】：中国地质大学(北京);
【分类号】：P237;TP751

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