Xu, Z.K.[Ze-Kai],
Wang, X.W.[Xue-Wen],
Chen, Z.X.[Zi-Xuan],
Xiong, D.P.[Dong-Ping],
Ding, M.Y.[Ming-Yue],
Hou, W.G.[Wen-Guang],
Nonlocal similarity based DEM super resolution,
PandRS(110), No. 1, 2015, pp. 48-54.
Elsevier DOI
1601
Digital elevation model
BibRef
Xu, Z.[Zekai],
Chen, Z.X.[Zi-Xuan],
Yi, W.W.[Wei-Wei],
Gui, Q.L.[Qiu-Ling],
Hou, W.G.[Wen-Guang],
Ding, M.Y.[Ming-Yue],
Deep gradient prior network for DEM super-resolution: Transfer
learning from image to DEM,
PandRS(150), 2019, pp. 80-90.
Elsevier DOI
1903
Super-resolution, Digital elevation model,
Gradient reconstruction, Convolutional neural network, Transfer learning
BibRef
Lin, X.[Xu],
Zhang, Q.Q.[Qing-Qing],
Wang, H.Y.[Hong-Yue],
Yao, C.L.[Chao-Long],
Chen, C.X.[Chang-Xin],
Cheng, L.[Lin],
Li, Z.X.[Zhao-Xiong],
A DEM Super-Resolution Reconstruction Network Combining Internal and
External Learning,
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DOI Link
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BibRef
Zhang, Y.F.[Yi-Fan],
Yu, W.H.[Wen-Hao],
Zhu, D.[Di],
Terrain feature-aware deep learning network for digital elevation
model superresolution,
PandRS(189), 2022, pp. 143-162.
Elsevier DOI
2206
DEM superresolution, Terrain features,
Explicit terrain optimization, Deformable convolution
BibRef
Wen, Z.[Zhuwei],
Chen, H.[He],
Zheng, X.W.[Xian-Wei],
Unmixing frequency features for DEM super resolution,
PandRS(228), 2025, pp. 723-740.
Elsevier DOI Code:
WWW Link.
2509
Digital elevation model, Super resolution,
Frequency feature unmixing, Deep learning
BibRef
Chen, R.X.[Ruo-Xuan],
Chen, Y.M.[Yu-Min],
Zhang, T.F.[Teng-Fei],
Zeng, F.[Fei],
Li, Z.H.[Zhang-Hui],
A Transformer-Based Residual Attention Network Combining SAR and
Terrain Features for DEM Super-Resolution Reconstruction,
RS(17), No. 21, 2025, pp. 3625.
DOI Link
2511
BibRef
Yao, S.[Shun],
Cheng, Y.M.[Yong-Mei],
Yang, F.[Fei],
Mozerov, M.G.[Mikhail G.],
A continuous digital elevation representation model for DEM
super-resolution,
PandRS(208), 2024, pp. 1-13.
Elsevier DOI Code:
WWW Link.
2402
DEM super-resolution, Neural implicit representation,
Continuous DEM model, Elevation bias prediction
BibRef
Guo, M.Q.[Ming-Qiang],
Xiong, F.[Feng],
Huang, Y.[Ying],
Zhang, Z.Z.[Zhi-Zheng],
Zhang, J.M.[Jia-Ming],
A Multi-Path Feature Extraction and Transformer Feature Enhancement
DEM Super-Resolution Reconstruction Network,
RS(17), No. 10, 2025, pp. 1737.
DOI Link
2505
BibRef
Huang, W.J.[Wen-Jun],
Sun, Q.[Qun],
Xu, Q.[Qing],
Ma, J.Z.[Jing-Zhen],
Lv, Z.[Zheng],
Gao, T.[Tian],
Yu, A.Z.[An-Zhu],
A transfer learning-based contourlet residual-driven terrain-aware
method for Arctic seafloor DEM super-resolution,
PandRS(239), 2026, pp. 736-754.
Elsevier DOI
2608
Digital elevation model, Super-resolution, Arctic seafloor,
ontourlet transform, IBCAO
BibRef
Chen, Z.X.[Zi-Xuan],
Wang, X.W.[Xue-Wen],
Xu, Z.K.[Ze-Kai],
Hou, W.G.[Wen-Guang],
Convolutional Neural Network Based Dem Super Resolution,
ISPRS16(B3: 247-250).
DOI Link
1610
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Point Cloud Up-Sampling .