Deep Learning-Based Building Detection from HR Aerial Imagery: Application of Mask R-CNN in Baghdad
This paper suggests a practical application method that effectively detects buildings in HR aerial photos in Baghdad by creating a segmentation mask using the Mask R-CNN deep learning model. The paper used aerial 10 cm resolution images of Baghdad as the main case study, focusing on a particular urban region neighborho...