False Top Ographic Perception Phenomena（FTPP）are visual obstacles in applications of remote sensing images. Thid study aims to correct FTPP for non-professionals who use these images. After the causes of FTPP were analyzed

a method was proposed for topographic normalization models to correct FTPP in remote sensing images. Four FTPP correction formula were developed based on the Lambert an model

Cosine-Civco Model

c correction

and b correction; these equations were then compared in three test areas. In addition

the FTPP correction results were compared among the four topographic normalization models and the five existing methods. Results showed that the four topographic normalization models could successfully remove FTPP in images

but introduced some spectral distortions. The FTPP correction results of the Lambert and Cosine-Civco model showed good stereoscopic effects but inferior color balance and hues. The c and b correction produced similar images with good visual effects

while retaining spectral information of ground features. Overall

the quantitative index showed that b correction was slightly better than the three other models for FTPP correction. Comparison with the five existing methods indicated that c and b correction were superior. In conclusion

the c and b correction can effectively remove FTPP in images

regardless of the number of bands involved

there by preserve the spectral information of the images for further quantitative analysis.