Building Height Restoration Method of Remote Sensing Images based on Faster RCNN

Abstract

To accurately obtain building height information from a single remote sensing image, we propose a height restoration method, which mainly is composed of two parts, building shadow rotation detection and building height calculation. The first part adds a skip connection structure and rotated branches based on Faster RCNN and achieves rotation shadow detection. The latter uses imaging date and geographic latitude to restore building height based on the geometric relationship between the building and its shadow. The experiment shows that the accuracy of height restoration is 95.04%. Compared with the state-of-the-art method, our method has the superiority of simple implementation, less data, fast speed, and high accuracy.