arrow
Return

A wavelet-guided and physics-aware network for remote sensing image dehazing

delete2026-04-15
delete0
PRE
AI
Q
Qianxi Zhang
T
Tao Gao
T
Ting Chen *
Y
Yuanbo Wen
Z
Ziqi Li
S
Shan Liang
DOI:10.1016/j.cnsns.2026.110004delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• A wavelet-guided physics-aware network unifies frequency priors and physical interpretability. • A wavelet cross self-attention improves spatial-frequency representation. • A physics-aware residual module improves the atmospheric scattering model. • Extensive experiments validate effectiveness on synthetic and real datasets.
Keywords:
Wavelet-guided network
Physics-aware network
Remote sensing image dehazing
Atmospheric scattering model
Spatial-frequency representation

Journal

Communications in Nonlinear Science and Numerical Simulation cover
Communications in Nonlinear Science and Numerical Simulation
IF:
3.8
Papers:
9.1K
Citations:
1.8W

Organization

I
information engineering
Scholars:
85
Papers: 34
Citations: 0
S
School of Data Science and Artificial Intelligence
Scholars:
51
Papers: 22
Citations: 0