CONVOLUTIONAL NEURAL NETWORK BASED DEM SUPER RESOLUTION

21 citations as recorded by crossref.

1. A DEM Super-Resolution Reconstruction Network Combining Internal and External Learning X. Lin et al. 10.3390/rs14092181
2. An ensemble learning framework for generating high-resolution regional DEMs considering geographical zoning X. Han et al. 10.1016/j.isprsjprs.2025.02.007
3. Multi-Branch Deep Neural Network for Bed Topography of Antarctica Super-Resolution: Reasonable Integration of Multiple Remote Sensing Data Y. Cai et al. 10.3390/rs15051359
4. DDMAFN: A Progressive Dual-Domain Super-Resolution Network for Digital Elevation Model Based on Multi-Scale Feature Fusion B. He et al. 10.3390/electronics13204078
5. Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural Networks Y. Zhang & W. Yu 10.3390/s22030745
6. Sliding Windows Method Based on Terrain Self-Similarity for Higher DEM Resolution in Flood Simulating Modeling Q. Yin et al. 10.3390/rs13183604
7. DEM super-resolution framework based on deep learning: decomposing terrain trends and residuals H. Wang et al. 10.1080/17538947.2024.2356121
8. Deep learning methods applied to digital elevation models: state of the art J. Ruiz-Lendínez et al. 10.1080/10106049.2023.2252389
9. LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution S. Zhang et al. 10.1109/TGRS.2024.3408793
10. TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution Y. Wang et al. 10.1109/TGRS.2024.3360489
11. A Global-Information-Constrained Deep Learning Network for Digital Elevation Model Super-Resolution X. Han et al. 10.3390/rs15020305
12. Terrain Self-Similarity-Based Transformer for Generating Super Resolution DEMs X. Zheng et al. 10.3390/rs15071954
13. A Transformer-Unet Generative Adversarial Network for the Super-Resolution Reconstruction of DEMs X. Zheng et al. 10.3390/rs16193676
14. D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks B. Demiray et al. 10.1007/s42979-020-00442-2
15. Real-World DEM Super-Resolution Based on Generative Adversarial Networks for Improving InSAR Topographic Phase Simulation Z. Wu et al. 10.1109/JSTARS.2021.3105123
16. Research on High-Resolution Modeling of Satellite-Derived Marine Environmental Parameters Based on Adaptive Global Attention R. Cui et al. 10.3390/rs17040709
17. Super-resolution reconstruction of a digital elevation model based on a deep residual network D. Jiao et al. 10.1515/geo-2020-0207
18. An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution G. Chen et al. 10.3390/rs15041038
19. A rapid high-resolution multi-sensory urban flood mapping framework via DEM upscaling W. Tan et al. 10.1016/j.rse.2023.113956
20. An Enhanced Double-Filter Deep Residual Neural Network for Generating Super Resolution DEMs A. Zhou et al. 10.3390/rs13163089
21. A Seabed Terrain Feature Extraction Transformer for the Super-Resolution of the Digital Bathymetric Model W. Cai et al. 10.3390/rs15204906