TEXTURE-AWARE DENSE IMAGE MATCHING USING TERNARY CENSUS TRANSFORM

12 citations as recorded by crossref.

1. Evaluating Stereo Digital Terrain Model Quality at Mars Rover Landing Sites with HRSC, CTX, and HiRISE Images R. Kirk et al. https://doi.org/10.3390/rs13173511
2. Image Texture as Quality Indicator for Optical DEM Generation: Geomorphic Applications in the Arid Central Andes B. Purinton et al. https://doi.org/10.3390/rs15010085
3. Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas R. Gopalakrishnan et al. https://doi.org/10.3390/rs12121943
4. A 3D Reconstruction Framework of Buildings Using Single Off-Nadir Satellite Image C. Zhao et al. https://doi.org/10.3390/rs13214434
5. Integrated Photogrammetric and Photoclinometric Processing of Multiple HRSC Images for Pixelwise 3-D Mapping on Mars Z. Li et al. https://doi.org/10.1109/TGRS.2021.3106737
6. Hierarchical Regularization of Building Boundaries in Noisy Aerial Laser Scanning and Photogrammetric Point Clouds L. Xie et al. https://doi.org/10.3390/rs10121996
7. Photogrammetric Processing of Tianwen-1 HiRIC Imagery for Precision Topographic Mapping on Mars Z. Li et al. https://doi.org/10.1109/TGRS.2022.3194081
8. Adversarial learning for unguided single depth map completion of indoor scenes M. Medhi & R. Ranjan Sahay https://doi.org/10.1007/s00138-024-01652-x
9. A Photogrammetric-Photometric Stereo Method for High-Resolution Lunar Topographic Mapping Using Yutu-2 Rover Images M. Peng et al. https://doi.org/10.3390/rs13152975
10. Edge-Preserving Stereo Matching Using LiDAR Points and Image Line Features S. Zou et al. https://doi.org/10.1109/LGRS.2023.3239030
11. Investigating the Spatiotemporal Variations in Glacier Elevation Changes over the Southeastern Tibetan Plateau Using Multisource Satellite Data X. Luo et al. https://doi.org/10.3390/rs18081160
12. Three-dimensional (3D) reconstructions of the coastal cliff face in Normandy (France) based on oblique Pléiades imagery: assessment of Ames Stereo Pipeline® (ASP®) and MicMac® processing chains P. Letortu et al. https://doi.org/10.1080/01431161.2021.1892857