In the relief area, solar radiation is different in different parts of the surface, resulting in difficulty in identification and classification of features. Topographic correction thus becomes a must for improving the accuracy of remote sensing image classification. The traditional statistic-empirical terrain correction model is an empirical correction model based on statistics, which rotates solar radiation received by pixels on the slope to a horizontal position by the corresponding linear regression relationship so as to achieve the purpose of correction. However, the different angles of the slope, i.e., slope differences, have a certain impact on its correction accuracy. This paper improves the original model by slope grading: first of all, the study area is classified into different slope grades, then different slope grades are rotated to a horizontal position by the corresponding linear regression relationship, and the original model and the improved model are used to correct the study area based on ASTER image. The results show that the improved statistic-empirical terrain correction model can both remove the influence of terrain, making the same features have the same spectral information in an image, and keep the spectral characteristics of the feature itself, thus obtaining better correction effects.
韩晓静, 邢立新, 潘军, 刘立文, 周彩彩, 于一凡. 改进的经验统计地形校正模型及其应用[J]. 国土资源遥感, 2013, 25(4): 187-191.
HAN Xiaojing, XING Lixin, PAN Jun, LIU Liwen, ZHOU Caicai, YU Yifan. Improved statistic-empirical topographic correction model and its application. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 187-191.
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