An improved topographic correction algorithm based on the minnaert+SCS model
In order to enhance the topographic correction effect of remote sensing images in rugged mountainous areas,this study introduces a terrain adjustment factor into the Minnaert+SCS model,proposing an Improved Minnaert+SCS(IMS)model.Utilizing Sentinel-2 satellite imagery as the data source,correction experiments were conducted in three different terrain conditions:Qiaojia,Jiuzhaigou,and Yangshuo.The IMS model was compared with SCS+C,Minnaert,and Minnaert+SCS models using outlier analysis,correlation analysis,and quartile range analysis.The results indicate that the IMS model significantly outperforms other models in eliminating topographic effects on remote sensing images.The IMS model effectively eliminates dark areas caused by topographic shadows,enhancing the brightness and contrast of vegetation-covered areas.In the corrected images,the correlation coefficients between reflectance and solar incidence angle cosine significantly decrease to 0.11(Qiaojia),0.08(Jiuzhaigou),and 0.02(Yangshuo).Meanwhile,the quartile range reduction in post-correction images for each study area significantly increases,maintaining good consistency across all spectral bands.This suggests that the IMS model improves the spatial uniformity and texture information of the images.
remote sensing imagestopographic effectstopographic correctionsemi-empirical modelcorrelation analysisquartile range analysis
万方数据
维普
