A transfer learning-based contourlet residual-driven terrain-aware method for Arctic seafloor DEM super-resolution
Authors:
- Wenjun HuangWHWenjun Huang
- Qun SunQSQun Sun
- Qing XuQXQing Xu
- Jingzhen MaJMJingzhen Ma
- Zheng LvZLZheng Lv
- Tian GaoTGTian Gao
- Anzhu YuAYAnzhu Yu
Top Cited Papers
Open Access
- 25 June 2026
- journal article
- Published by Elsevier in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 239, 736-754
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Henan Province
- China Postdoctoral Science Foundation
- National Natural Science Foundation of China
This publication has 33 references indexed in Scilit:
- Arctic sea ice motion retrieval from multisource SAR images using a keypoint-free feature tracking algorithmISPRS Journal of Photogrammetry and Remote Sensing, 2025
- RouteView 2.0: A real-time operational planning system for vessels on the Arctic Northeast PassageEnvironmental Modelling & Software, 2025
- Super-resolution reconstruction of a 3 arc-second global DEM datasetScience Bulletin, 2022
- Image super-resolution: A comprehensive review, recent trends, challenges and applicationsInformation Fusion, 2022
- Terrain feature-aware deep learning network for digital elevation model superresolutionISPRS Journal of Photogrammetry and Remote Sensing, 2022
- Real-world single image super-resolution: A brief reviewInformation Fusion, 2022
- D-SRGAN: DEM Super-Resolution with Generative Adversarial NetworksSN Computer Science, 2021
- BedMachine v3: Complete Bed Topography and Ocean Bathymetry Mapping of Greenland From Multibeam Echo Sounding Combined With Mass ConservationGeophysical Research Letters, 2017
- Nonlocal similarity based DEM super resolutionISPRS Journal of Photogrammetry and Remote Sensing, 2015
- Super-resolution: a comprehensive surveyMachine Vision and Applications, 2014