In order to solve the problem that the shadow in remote sensing images leads to the loss of ground object information and the degradation of image quality, we propose a shadow compensation method by combing logarithmic transformation with local enhancement in the high resolution remote sensing images. First, based on the shadow detection results, we design an improved logarithmic transformation image enhancement method and construct the logarithmic transformation compensation model to effectively increase the brightness of shadow areas. Then, we use the local compensation model and weighting treatment to improve the contrast of shadow areas. Finally, we obtain the automatic parameters of the compensation model using the information of similar points on both sides of the shadow boundary and realize the automatic compensation. The experimental results indicate that the proposed method can be used for shadow compensation, to improve the brightness and contrast of shadow areas, and to recover the true ground object information of shadow areas correctly.