Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses
Sign Up to like & getrecommendations! Published in 2020 at "Earth Surface Processes and Landforms"
DOI: 10.1002/esp.4739
Abstract: The investigation of form and processes in geomorphology and ecology is highly dependent on topographic data: a reliable digital terrain representation is in fact a key issue across environmental and earth sciences. In many cases,… read more here.
Keywords: digital terrain; methodology; surface; void filling ... See more keywords
Generative DEM Void Filling With Terrain Feature-Guided Transfer Learning Assisted by Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3407930
Abstract: The quality of digital elevation models (DEMs) is easily affected by data voids in regions with complex terrain conditions. Numerous methods have been proposed to fill DEM voids by effectively exploiting the topographic information from… read more here.
Keywords: void filling; dem void; remote sensing; sensing images ... See more keywords
DTFL: A Deep Learning Method for Digital Bathymetry Model Void-Filling Guided by Topographic Feature Line
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3597358
Abstract: Data voids significantly compromise the reliability of Digital Bathymetry Models (DBMs) for critical applications such as oceanographic research and resource exploration. Traditional interpolation methods struggle to accurately reconstruct complex submarine landforms, often resulting in blurred… read more here.
Keywords: deep learning; void filling; topographic feature; bathymetry ... See more keywords