Cargando…

Dehazing in hyperspectral images: the GRANHHADA database

In this study, we present an analysis of dehazing techniques for hyperspectral images in outdoor scenes. The aim of our research is to compare different dehazing approaches for hyperspectral images and introduce a new hyperspectral image database called GRANHHADA (GRANada Hyperspectral HAzy Database...

Descripción completa

Detalles Bibliográficos
Autores principales:	Carvelo, Sol Fernández, Domingo, Miguel Ángel Martínez, Valero, Eva M., Andrés, Javier Hernández
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643623/ https://www.ncbi.nlm.nih.gov/pubmed/37957256 http://dx.doi.org/10.1038/s41598-023-46808-3

Ejemplares similares

Band Selection for Dehazing Algorithms Applied to Hyperspectral Images in the Visible Range
por: Fernández-Carvelo, Sol, et al.
Publicado: (2021)

Single Image Dehazing Algorithm Analysis with Hyperspectral Images in the Visible Range
por: Martínez-Domingo, Miguel Ángel, et al.
Publicado: (2020)

Nighttime Image Dehazing by Render
por: Jin, Zheyan, et al.
Publicado: (2023)

Single image mixed dehazing method based on numerical iterative model and DehazeNet
por: Jiao, Wenjiang, et al.
Publicado: (2021)

Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing
por: Wang, Zhibo, et al.
Publicado: (2023)

Region Adaptive Single Image Dehazing
por: Kim, Changwon
Publicado: (2021)

Eight-Channel Multispectral Image Database for Saliency Prediction
por: Martínez-Domingo, Miguel Ángel, et al.
Publicado: (2021)

Optimized method for polarization-based image dehazing
por: Sun, Chunsheng, et al.
Publicado: (2023)

A Review of Remote Sensing Image Dehazing
por: Liu, Juping, et al.
Publicado: (2021)

Robust Dehaze Algorithm for Degraded Image of CMOS Image Sensors
por: Qu, Chen, et al.
Publicado: (2017)

Diagnosing of Diabetic Retinopathy with Image Dehazing and Capsule Network
por: Kose, Utku, et al.
Publicado: (2020)

An Efficient Residual-Based Method for Railway Image Dehazing
por: Liu, Qinghong, et al.
Publicado: (2020)

High-Resolution Representations Network for Single Image Dehazing
por: Han, Wensheng, et al.
Publicado: (2022)

Single Image Dehazing Using Global Illumination Compensation
por: Zheng, Junbao, et al.
Publicado: (2022)

Online knowledge distillation network for single image dehazing
por: Lan, Yunwei, et al.
Publicado: (2022)

Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning
por: Pérez, Javier, et al.
Publicado: (2020)

Validation of a Hyperspectral Imaging System for Color Measurement of In-Vivo Dental Structures
por: Tejada-Casado, Maria, et al.
Publicado: (2022)

A Sensor Image Dehazing Algorithm Based on Feature Learning
por: Liu, Kun, et al.
Publicado: (2018)

A Novel Residual Dense Pyramid Network for Image Dehazing
por: Yin, Shibai, et al.
Publicado: (2019)

Residual Spatial and Channel Attention Networks for Single Image Dehazing
por: Jiang, Xin, et al.
Publicado: (2021)

A Novel Transformer-Based Attention Network for Image Dehazing
por: Gao, Guanlei, et al.
Publicado: (2022)

A Bayesian Framework for Single Image Dehazing considering Noise
por: Nan, Dong, et al.
Publicado: (2014)

Deep guided transformer dehazing network
por: Zhang, Shengdong, et al.
Publicado: (2023)

Transformer-based progressive residual network for single image dehazing
por: Yang, Zhe, et al.
Publicado: (2022)

Correcting anisotropic intensity in light sheet images using dehazing and image morphology
por: Teranikar, Tanveer, et al.
Publicado: (2020)

Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing
por: Dong, Weida, et al.
Publicado: (2023)

Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network
por: Zhao, Liquan, et al.
Publicado: (2023)

Image Dehazing Using LiDAR Generated Grayscale Depth Prior
por: Chung, Won Young, et al.
Publicado: (2022)

Physical-model guided self-distillation network for single image dehazing
por: Lan, Yunwei, et al.
Publicado: (2022)

Efficient Sky Dehazing by Atmospheric Light Fusion
por: Hajjami, Jaouad, et al.
Publicado: (2020)

Multi-level perception fusion dehazing network
por: Wu, Xiaohua, et al.
Publicado: (2023)

Wavelength-Adaptive Dehazing Using Histogram Merging-Based Classification for UAV Images
por: Yoon, Inhye, et al.
Publicado: (2015)

SIDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images
por: He, Renjie, et al.
Publicado: (2020)

Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing
por: Chen, Jiahao, et al.
Publicado: (2020)

Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning
por: Shin, Joongchol, et al.
Publicado: (2021)

Evaluation of the quality indicators in dehazed images: Color, contrast, naturalness, and visual pleasingness
por: Rahadianti, Laksmita, et al.
Publicado: (2021)

Multi-channel feature fusion attention Dehazing network
por: Zou, Changjun, et al.
Publicado: (2023)

ADE-CycleGAN: A Detail Enhanced Image Dehazing CycleGAN Network
por: Yan, Bingnan, et al.
Publicado: (2023)

Impact of Dehazing on Underwater Marker Detection for Augmented Reality
por: Žuži, Marek, et al.
Publicado: (2018)

HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy
por: Ehrenfeld, Alejandro, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_3hq8arhbok2b1crlfo3h9241dq