We retrained the existing deep learning model with CORONA satellite image data to improve the automatic identification performance of archaeological sites in the Abu Ghraib area of Iraq. Using a Bing-based convolutional neural network model, we retrained the model by considering CORONA images from 50 years ago and current terrain changes, and achieved an IoU value of over 85% and an archaeological site detection accuracy of 90%. In addition, we discovered four new archaeological sites that had not been discovered using existing methods and confirmed them through field verification. This is a groundbreaking result that shows that AI technology and old satellite images are effective in discovering now-disappeared archaeological sites.