Cargando…

Aspect-Aided Dynamic Non-Negative Sparse Representation-Based Microwave Image Classification

Classification of target microwave images is an important application in much areas such as security, surveillance, etc. With respect to the task of microwave image classification, a recognition algorithm based on aspect-aided dynamic non-negative least square (ADNNLS) sparse representation is propo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Xinzheng, Yang, Qiuyue, Liu, Miaomiao, Jia, Yunjian, Liu, Shujun, Li, Guojun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038691/ https://www.ncbi.nlm.nih.gov/pubmed/27598172 http://dx.doi.org/10.3390/s16091413

Ejemplares similares

An efficient classification method based on principal component and sparse representation
por: Zhai, Lin, et al.
Publicado: (2016)

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

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

Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms
por: Kim, Dae Hoe, et al.
Publicado: (2013)

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

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

Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification
por: Zhang, Xinzheng, et al.
Publicado: (2017)

Adaptive Local Aspect Dictionary Pair Learning for Synthetic Aperture Radar Target Image Classification
por: Zhang, Xinzheng, et al.
Publicado: (2018)

Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle
por: Xing, Xiangwei, et al.
Publicado: (2014)

Sparse Representation for Classification of Tumors Using Gene Expression Data
por: Hang, Xiyi, et al.
Publicado: (2009)

Sparse representation approaches for the classification of high-dimensional biological data
por: Li, Yifeng, et al.
Publicado: (2013)

Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation
por: Sun, Rui, et al.
Publicado: (2016)

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

Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification
por: Bing, Lu, et al.
Publicado: (2017)

Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace
por: Mi, Jian-Xun, et al.
Publicado: (2013)

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation
por: Gan, Bin, et al.
Publicado: (2014)

Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
por: Cai, Nian, et al.
Publicado: (2013)

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

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
por: Gulraiz, Asma, et al.
Publicado: (2022)

Self-supervised sparse coding scheme for image classification based on low rank representation
por: Li, Ao, et al.
Publicado: (2018)

Large Margin and Local Structure Preservation Sparse Representation Classifier for Alzheimer’s Magnetic Resonance Imaging Classification
por: Liu, Runmin, et al.
Publicado: (2022)

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

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

Sparse representations and compressive sensing for imaging and vision
por: Patel, Vishal M, et al.
Publicado: (2013)

Sparse time-frequency representations
por: Gardner, Timothy J., et al.
Publicado: (2006)

Application of Sparse Representation in Bioinformatics
por: Han, Shuguang, et al.
Publicado: (2021)

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

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

Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications
por: Zhang, Jing, et al.
Publicado: (2018)

An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks
por: Huang, Jing-Shan, et al.
Publicado: (2020)

A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing
por: Oikonomou, Vangelis P., et al.
Publicado: (2023)

A Hybrid Sparse Representation Model for Image Restoration
por: Zhou, Caiyue, et al.
Publicado: (2022)

Fourier ptychographic microscopy with sparse representation
por: Zhang, Yongbing, et al.
Publicado: (2017)

An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification
por: Li, Jingyao, et al.
Publicado: (2013)

Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm
por: Huang, Guohua, et al.
Publicado: (2014)

Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification
por: Yu, Haoyang, et al.
Publicado: (2018)

FCTP-WSRC: Protein–Protein Interactions Prediction via Weighted Sparse Representation Based Classification
por: Kong, Meng, et al.
Publicado: (2020)

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

A Domain Adaptation Sparse Representation Classifier for Cross-Domain Electroencephalogram-Based Emotion Classification
por: Ni, Tongguang, et al.
Publicado: (2021)

Spectral Domain Sparse Representation for DOA Estimation of Signals with Large Dynamic Range
por: Compaleo, Jacob, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_dmaf9qcupt44t1uuqlfm43uafr