Estimation of Normalized DSM From Single Satellite Imagery Using Deep Learning

Height estimation and terrain classification using single optical images have been actively researched. To improve the accuracy of single image-based height estimation, regression models between optical images and normalized digital surface models (nDSM) have shown good performance. Accordingly, in this paper, the performance was improved by testing various augmentation and parameters.