Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plan...
Enregistré dans:
Auteurs principaux: | Yu Lei, Bing Lei, Yubo Cai, Chao Gao, Fujie Wang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/263d0c2a9a5b477e8be29ff5e1a290d4 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Deep Dehazing Network for Remote Sensing Image with Non-Uniform Haze
par: Bo Jiang, et autres
Publié: (2021) -
A SAR Image Classification Algorithm Based on Multi-Feature Polarimetric Parameters Using FOA and LS-SVM
par: Shiyu Luo, et autres
Publié: (2019) -
Non-subsampled shearlet transform remote sensing image fusion combined with parameter-adaptive PCNN
par: CHENG Feifei, et autres
Publié: (2021) -
Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
par: Iman M.G. Alwan
Publié: (2015) -
Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
par: Iman M.G. Alwan
Publié: (2015)