34 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
BRDF-NeRF: Neural Radiance Fields with Optical Satellite Images and BRDF Modelling
Lulin Zhang, Ewelina Rupnik, Tri Dung Nguyen +2
Neural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (…
cs.CV2023
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
Lulin Zhang, Ewelina Rupnik
Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuit…
cs.CV2021★ 34 cited
Feature matching for multi-epoch historical aerial images
Lulin Zhang, Ewelina Rupnik, Marc Pierrot-Deseilligny
Historical imagery is characterized by high spatial resolution and stereo-scopic acquisitions, providing a valuable resource for recovering 3D land-cover information. Accurate geo-…