 Remote Sensing Image Change Detection, CD, is done to identify desired significant changes between bi-temporal images. Exploring the relationships among different spatial-temporal pixels may improve the performances of CD methods. We integrate a new CD self-attention module in the procedure of feature extraction. Our proposed attention module improves the F1 score of our baseline model from 83.9 to 87.3. This article was authored by Hao Chen and Zhen Weishu.