Aiming at the high efficiency requirement of extraction seismic landslide, we propose an automatic extraction algorithm of seismic landslide based on after-calamity high-resolution remote sensing image. The algorithm utilizes the spectrum, shape, and texture features of seismic landslide of the remote sensing image to remove the disturbed features based on the analytic hierarchy process, and realizes the automatic extraction of the seismic landslide. All the feature parameters are computed automatically by the improved Otsu algorithm. In a test using high-resolution aerial remote sensing data acquired by ADS40 image after earthquake Wenchuan in 2008, the experiments demonstrate that more than 70% landslides are correctly detected by the proposed method. Furthermore, the area accuracy is more than 80% and the extraction time is less than one minute for the ADS40 image with 10000 rows and 10000 columns data. Compared with traditional visual interpretation of human-computer interaction, the proposed algorithm has high degree of automation and landslide extraction speed, and the landslide recognition accuracy can meet the earthquake disaster emergency requirements.