Evaluation and Comparison of Topographic Correction Models Is Applied on the Series Landsat Images Using Spectrometery Data

The effect of topography on the radiance record in satellite image, probably reduce the accuracy of algorithem impliementation on the images . Therefore, to reduce the effect of topography, various correction models based on interaction between light and object needs to be defined. This research introduces lombertin correction model (Cosine model) and non_lombertin correction model (mineart and C correction models) which can be applied on the serios landsat images of Irankouh. In order to evaluate of models, statistical parameters (mean difference and standard deviation of each band) before and after correction, Spectroscopy parameters (similarity angle and Euclidean distance) and accuracy of lead content estimation from Images were used. According to the results of the methods  evaluation, the cosines model showed a poor performance compared to the other models. Overall accuracy of similarity angle (above 0.97) between image and spectroscopy data for Minaret and Cosines models was 0.973 and 0.891, respectively. Also RMSE=0.83 and R2 =0.65 of lead content estimation of landsat 8 correction image using mineart model showed good performance.