most citedFast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

A Nerf-Based Color Consistency Method for Remote Sensing Images

Zongcheng Zuo, Yuanxiang Li, Tongtong Zhang

Due to different seasons, illumination, and atmospheric conditions, the photometric of the acquired image varies greatly, which leads to obvious stitching seams at the edges of the…

eess.IV2024

Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration

Tongtong Zhang, Zongcheng Zuo, Yuanxiang Li

Digital Elevation Models (DEMs) are indispensable in the fields of remote sensing and photogrammetry, with their refinement and enhancement being critical for a diverse array of ap…

cs.CV2024

psPRF:Pansharpening Planar Neural Radiance Field for Generalized 3D Reconstruction Satellite Imagery

Tongtong Zhang, Yuanxiang Li

Most current NeRF variants for satellites are designed for one specific scene and fall short of generalization to new geometry. Additionally, the RGB images require pan-sharpening…

cs.CV2024

Deep Extrinsic Manifold Representation for Vision Tasks

Tongtong Zhang, Xian Wei, Yuanxiang Li

Non-Euclidean data is frequently encountered across different fields, yet there is limited literature that addresses the fundamental challenge of training neural networks with mani…

cs.CV2023

rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera

Tongtong Zhang, Yuanxiang Li

Novel view synthesis of satellite images holds a wide range of practical applications. While recent advances in the Neural Radiance Field have predominantly targeted pin-hole camer…

cs.CV2023★ 1 cited

Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size

Tongtong Zhang, Yuanxiang Li

Existing NeRF models for satellite images suffer from slow speeds, mandatory solar information as input, and limitations in handling large satellite images. In response, we present…