[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry

JM Jurado, A López, L Pádua, JJ Sousa - International journal of applied …, 2022 - Elsevier
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Sat-nerf: Learning multi-view satellite photogrammetry with transient objects and shadow modeling using rpc cameras

R Marí, G Facciolo, T Ehret - Proceedings of the IEEE/CVF …, 2022 - openaccess.thecvf.com
Abstract We introduce the Satellite Neural Radiance Field (Sat-NeRF), a new end-to-end
model for learning multi-view satellite photogrammetry in the wild. Sat-NeRF combines …

Multi-date earth observation NeRF: The detail is in the shadows

R Marí, G Facciolo, T Ehret - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Abstract We introduce Earth Observation NeRF (EO-NeRF), a new method for digital surface
modeling and novel view synthesis from collections of multi-date remote sensing images. In …

Sat-mesh: Learning neural implicit surfaces for multi-view satellite reconstruction

Y Qu, F Deng - Remote Sensing, 2023 - mdpi.com
Automatic reconstruction of surfaces from satellite imagery is a hot topic in computer vision
and photogrammetry. State-of-the-art reconstruction methods typically produce 2.5 D …

Disparity estimation networks for aerial and high-resolution satellite images: A review

R Marí, T Ehret, G Facciolo - Image Processing On Line, 2022 - ipol.im
This study reviews the PSM and HSM deep learning architectures for disparity estimation
from an input stereo pair and assesses their applicability for satellite stereo reconstruction …

[HTML][HTML] Constraining the Geometry of NeRFs for Accurate DSM Generation from Multi-View Satellite Images

Q Wan, Y Guan, Q Zhao, X Wen, J She - ISPRS International Journal of …, 2024 - mdpi.com
Neural Radiance Fields (NeRFs) are an emerging approach to 3D reconstruction that use
neural networks to reconstruct scenes. However, its applications for multi-view satellite …

SUNDIAL: 3D Satellite Understanding through Direct Ambient and Complex Lighting Decomposition

N Behari, A Dave, K Tiwary… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract 3D modeling from satellite imagery is essential in areas of environmental science
urban planning agriculture and disaster response. However traditional 3D modeling …

Sparsesat-NeRF: Dense depth supervised neural radiance fields for sparse satellite images

L Zhang, E Rupnik - arXiv preprint arXiv:2309.00277, 2023 - arxiv.org
Digital surface model generation using traditional multi-view stereo matching (MVS)
performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at …

Pursuing 3-D scene structures with optical satellite images from affine reconstruction to Euclidean reconstruction

P Wang, L Shi, B Chen, Z Hu, J Qiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
How to use multiple optical satellite images to recover the 3-D scene structure is a
challenging and important problem in the remote sensing field. Most existing methods in …

[HTML][HTML] Digital surface model generation from satellite images based on double-penalty bundle adjustment optimization

H Li, J Yin, L Jiao - Applied Sciences, 2024 - mdpi.com
Digital Surface Model (DSM) generation from high-resolution optical satellite images is an
important topic of research in the remote sensing field. In optical satellite imaging systems …