Cargando…

Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

Spectral-spatial classification has been widely applied for remote sensing applications, especially for hyperspectral imagery. Traditional methods mainly focus on local spatial similarity and neglect nonlocal spatial similarity. Recently, nonlocal self-similarity (NLSS) has gradually gained support...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Haoyang, Gao, Lianru, Liao, Wenzhi, Zhang, Bing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021858/ https://www.ncbi.nlm.nih.gov/pubmed/29795020 http://dx.doi.org/10.3390/s18061695

Ejemplares similares

Hierarchical Sparse Learning with Spectral-Spatial Information for Hyperspectral Imagery Denoising
por: Liu, Shuai, et al.
Publicado: (2016)

Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation
por: Chen, Eryang, et al.
Publicado: (2021)

A Robust Sparse Representation Model for Hyperspectral Image Classification †
por: Huang, Shaoguang, et al.
Publicado: (2017)

Motor imagery classification using sparse representations: an exploratory study
por: de Menezes, José Antonio Alves, et al.
Publicado: (2023)

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery
por: Lian, Xing, et al.
Publicado: (2023)

Classification of Clouds in Satellite Imagery Using Adaptive Fuzzy Sparse Representation
por: Jin, Wei, et al.
Publicado: (2016)

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery
por: Jiang, Zhuocheng, et al.
Publicado: (2020)

Spectral-spatial classification of hyperspectral remote sensing images
por: Benediktsson, Jon Atli, et al.
Publicado: (2015)

Approximate sparse spectral clustering based on local information maintenance for hyperspectral image classification
por: Yan, Qing, et al.
Publicado: (2018)

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification
por: She, Qingshan, et al.
Publicado: (2018)

Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery
por: Zhang, Xiangyue, et al.
Publicado: (2022)

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network
por: Pan, Xuran, et al.
Publicado: (2018)

Improved Classification Method Based on the Diverse Density and Sparse Representation Model for a Hyperspectral Image
por: Li, Na, et al.
Publicado: (2019)

Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization
por: Huang, Wei, et al.
Publicado: (2015)

Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
Publicado: (2019)

Spectral-Spatial Attention Transformer with Dense Connection for Hyperspectral Image Classification
por: Dang, Lanxue, et al.
Publicado: (2022)

Multiple Sparse Representations Classification
por: Plenge, Esben, et al.
Publicado: (2015)

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine
por: Fang, Xiaoping, et al.
Publicado: (2020)

Data Field Modeling and Spectral-Spatial Feature Fusion for Hyperspectral Data Classification
por: Liu, Da, et al.
Publicado: (2016)

Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data
por: Li, Chenming, et al.
Publicado: (2019)

Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications
por: Torres, Ruben Moya, et al.
Publicado: (2020)

A new hyperspectral image classification method based on spatial-spectral features
por: Shenming, Qu, et al.
Publicado: (2022)

Multitask fMRI Data Classification via Group-Wise Hybrid Temporal and Spatial Sparse Representations
por: Song, Limei, et al.
Publicado: (2022)

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery
por: Li, Na, et al.
Publicado: (2018)

Maxdenominator Reweighted Sparse Representation for Tumor Classification
por: Li, Weibiao, et al.
Publicado: (2017)

Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram–Schmidt Transformation †
por: Huang, Zehua, et al.
Publicado: (2018)

Correction: Multiple Sparse Representations Classification
por: Plenge, Esben, et al.
Publicado: (2015)

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery
por: Zhao, Huijie, et al.
Publicado: (2020)

Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images
por: Cao, Faxian, et al.
Publicado: (2017)

Asymmetric coordinate attention spectral-spatial feature fusion network for hyperspectral image classification
por: Cheng, Shuli, et al.
Publicado: (2021)

Neural representations underlying mental imagery as unveiled by representation similarity analysis
por: Boccia, Maddalena, et al.
Publicado: (2021)

Versatile platform of nonlocal metasurfaces for both spectral and spatial control of light waves
por: Chen, Run, et al.
Publicado: (2022)

Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant
por: Shao, Yang, et al.
Publicado: (2018)

Spatial–Spectral Evidence of Glare Influence on Hyperspectral Acquisitions
por: Signoroni, Alberto, et al.
Publicado: (2020)

A Hyperspectral Image Classification Method Based on the Nonlocal Attention Mechanism of a Multiscale Convolutional Neural Network
por: Li, Mingtian, et al.
Publicado: (2023)

Decoding of Walking Imagery and Idle State Using Sparse Representation Based on fNIRS
por: Li, Hongquan, et al.
Publicado: (2021)

Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification
por: Li, Hao, et al.
Publicado: (2021)

Deep Spectral-Spatial Features of Near Infrared Hyperspectral Images for Pixel-Wise Classification of Food Products
por: Zhu, Hongyan, et al.
Publicado: (2020)

Ensemble of ERDTs for Spectral–Spatial Classification of Hyperspectral Images Using MRS Object-Guided Morphological Profiles
por: Samat, Alim, et al.
Publicado: (2020)

Prefrontal cortical activity predicts the occurrence of nonlocal hippocampal representations during spatial navigation
por: Yu, Jai Y., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gnsd7v1kesjnodq79mpf39u0fv