Cargando…

Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery

The similarity between samples is an important factor for spectral reflectance recovery. The current way of selecting samples after dividing dataset does not take subspace merging into account. An optimized method based on subspace merging for spectral recovery is proposed from single RGB trichromat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xiong, Yifan, Wu, Guangyuan, Li, Xiaozhou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053468/ https://www.ncbi.nlm.nih.gov/pubmed/36991767 http://dx.doi.org/10.3390/s23063056

Ejemplares similares

Optimized clustering method for spectral reflectance recovery
por: Xiong, Yifan, et al.
Publicado: (2022)

Spectral Filter Selection Based on Human Color Vision for Spectral Reflectance Recovery
por: Niu, Shijun, et al.
Publicado: (2023)

On iterated-subspace minimization methods for nonlinear optimization
por: Conn, A R, et al.
Publicado: (1994)

Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition
por: Yu, Xiaohuan, et al.
Publicado: (2023)

Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties
por: Sila, Andrew M., et al.
Publicado: (2016)

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
por: Cai, Xiaosha, et al.
Publicado: (2020)

Subspace-by-subspace preconditioners for structured linear systems
por: Daydé, M J, et al.
Publicado: (1998)

Invariant subspaces
por: Radjavi, Heydar, et al.
Publicado: (1973)

Subspace methods for pattern recognition in intelligent environment
por: Chen, Yen-Wei, et al.
Publicado: (2014)

Cramér-Rao Bound Optimized Subspace Reconstruction in Quantitative MRI
por: Mao, Andrew, et al.
Publicado: (2023)

An Optimal Subspace Deconvolution Algorithm for Robust and High-Resolution Beamforming
por: Su, Xiruo, et al.
Publicado: (2022)

Ergodic Subspace Analysis
por: von Oertzen, Timo, et al.
Publicado: (2020)

A novel subspace outlier detection method by entropy-based clustering algorithm
por: Zuo, Zheng, et al.
Publicado: (2023)

A Subspace Method for Dynamical Estimation of Evoked Potentials
por: Georgiadis, Stefanos D., et al.
Publicado: (2007)

Lectures on invariant subspaces
por: Helson, Henry
Publicado: (1964)

Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI
por: Ren, Xiaogang, et al.
Publicado: (2021)

Robust auto-weighted multi-view subspace clustering with common subspace representation matrix
por: Zhuge, Wenzhang, et al.
Publicado: (2017)

Multimodal subspace independent vector analysis captures latent subspace structures in large multimodal neuroimaging studies
por: Li, Xinhui, et al.
Publicado: (2023)

Extended Averaged Learning Subspace Method for Hyperspectral Data Classification
por: Bagan, Hasi, et al.
Publicado: (2009)

Speed invariant gait recognition—The enhanced mutual subspace method
por: Iwashita, Yumi, et al.
Publicado: (2021)

On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils
por: Trong, Duong Kien, et al.
Publicado: (2021)

Krylov subspace methods with application in incompressible fluid flow solvers
por: Farahbakhsh, Iman
Publicado: (2020)

An Ensemble Outlier Detection Method Based on Information Entropy-Weighted Subspaces for High-Dimensional Data
por: Li, Zihao, et al.
Publicado: (2023)

Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods
por: Wen, Yu-Che, et al.
Publicado: (2022)

Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method
por: Ma, Yuming, et al.
Publicado: (2018)

Robust Face Recognition Based on a New Supervised Kernel Subspace Learning Method
por: Khalili Mobarakeh, Ali, et al.
Publicado: (2019)

Implementation of leakage elimination operators and subspace protection
por: Markaida, B. G., et al.
Publicado: (2020)

Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis
por: Chu, Yan, et al.
Publicado: (2023)

Decoding quantum errors with subspace expansions
por: McClean, Jarrod R., et al.
Publicado: (2020)

Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining
por: Cheng, Wenlong, et al.
Publicado: (2017)

Fusion Tensor Subspace Transformation Framework
por: Wang, Su-Jing, et al.
Publicado: (2013)

Multitask learning over shared subspaces
por: Menghi, Nicholas, et al.
Publicado: (2021)

Model-based processing: an applied subspace identification approach
por: Candy, James V
Publicado: (2019)

SAXS Merge: an automated statistical method to merge SAXS profiles using Gaussian processes
por: Spill, Yannick G., et al.
Publicado: (2014)

A Fast and Robust Ellipse-Detection Method Based on Sorted Merging
por: Wang, Gangyi, et al.
Publicado: (2014)

Multi-View Structural Local Subspace Tracking
por: Guo, Jie, et al.
Publicado: (2017)

Classification and visualization of neural patterns using subspace analysis statistical methods
por: Xia, Jun, et al.
Publicado: (2012)

Visualization and classification of neural ensemble encoding patterns by subspace analysis methods
por: Oşan, Remus, et al.
Publicado: (2007)

A Direct Position Determination Method Based on Subspace Orthogonality in Cross-Spectra under Multipath Environments
por: Zhu, Kehui, et al.
Publicado: (2022)

Introduction to operator theory and invariant subspaces
por: Beauzamy, Bernard
Publicado: (1988)

Cannot write session to /tmp/vufind_sessions/sess_7b61fk2u70vq2gthg82h365s7h