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Hyperspectral Image Classification in the Presence of Noisy Labels
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471723800openalex-snapshot
Signal Theory Methods in Multispectral Remote Sensing
inferredcites →https://doi.org/10.1006/inco.1995.1136openalex-snapshot
Boosting a Weak Learning Algorithm by Majority
inferredcites →https://doi.org/10.1007/978-94-009-1217-5_10openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1016/b978-0-08-051581-6.50024-6openalex-snapshot
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1016/b978-1-55860-146-8.50019-9openalex-snapshot
Boosting a weak learning algorithm by majority
inferredcites →https://doi.org/10.1016/j.epsl.2010.06.018openalex-snapshot
Hydrothermal formation of Clay-Carbonate alteration assemblages in the Nili Fossae region of Mars
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.013openalex-snapshot
Bagging schemes on the presence of class noise in classification
inferredcites →https://doi.org/10.1016/j.ins.2017.02.044openalex-snapshot
Hyperspectral image denoising with superpixel segmentation and low-rank representation
inferredcites →https://doi.org/10.1016/j.jcss.2004.10.015openalex-snapshot
Boosting in the presence of noise
inferredcites →https://doi.org/10.1089/ast.2007.0142openalex-snapshot
The MARTE VNIR Imaging Spectrometer Experiment: Design and Analysis
inferredcites →https://doi.org/10.1109/cvpr.2011.5995323openalex-snapshot
Entropy rate superpixel segmentation
inferredcites →https://doi.org/10.1109/ijcnn.2002.1007592openalex-snapshot
Learning from labeled and unlabeled data
inferredcites →https://doi.org/10.1109/jproc.2012.2197589openalex-snapshot
Advances in Spectral-Spatial Classification of Hyperspectral Images
inferredcites →https://doi.org/10.1109/jproc.2012.2229082openalex-snapshot
Feature Mining for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/jstars.2014.2301775openalex-snapshot
${{\rm E}^{2}}{\rm LMs}$: Ensemble Extreme Learning Machines for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/jstars.2015.2510032openalex-snapshot
Supervised Hyperspectral Image Classification With Rejection
inferredcites →https://doi.org/10.1109/lgrs.2013.2254108openalex-snapshot
Hyperspectral Remote Sensing Image Classification Based on Rotation Forest
inferredcites →https://doi.org/10.1109/lgrs.2016.2645708openalex-snapshot
Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2004.831865openalex-snapshot
Classification of hyperspectral remote sensing images with support vector machines
inferredcites →https://doi.org/10.1109/tgrs.2004.842481openalex-snapshot
Investigation of the random forest framework for classification of hyperspectral data
inferredcites →https://doi.org/10.1109/tgrs.2005.860982openalex-snapshot
Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage
inferredcites →https://doi.org/10.1109/tgrs.2006.870435openalex-snapshot
Spectral curve fitting for automatic hyperspectral data analysis
inferredcites →https://doi.org/10.1109/tgrs.2009.2037898openalex-snapshot
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2010.2041784openalex-snapshot
Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data
inferredcites →https://doi.org/10.1109/tgrs.2011.2129595openalex-snapshot
Hyperspectral Image Classification Using Dictionary-Based Sparse Representation
inferredcites →https://doi.org/10.1109/tgrs.2012.2185053openalex-snapshot
Information Fusion in the Redundant-Wavelet-Transform Domain for Noise-Robust Hyperspectral Classification
inferredcites →https://doi.org/10.1109/tgrs.2012.2185054openalex-snapshot
Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model
inferredcites →https://doi.org/10.1109/tgrs.2013.2255297openalex-snapshot
Spectral-Spatial Constraint Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2013.2264508openalex-snapshot
Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering
inferredcites →https://doi.org/10.1109/tgrs.2014.2306687openalex-snapshot
A Novel Spatial–Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/tgrs.2014.2381602openalex-snapshot
Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
inferredcites →https://doi.org/10.1109/tgrs.2015.2421638openalex-snapshot
Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2017.2703598openalex-snapshot
Dimensionality Reduction by Spatial–Spectral Preservation in Selected Bands
inferredcites →https://doi.org/10.1109/tgrs.2017.2765364openalex-snapshot
Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines
inferredcites →https://doi.org/10.1109/tgrs.2017.2768479openalex-snapshot
Extinction Profiles Fusion for Hyperspectral Images Classification
inferredcites →https://doi.org/10.1109/tgrs.2018.2820040openalex-snapshot
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration
inferredcites →https://doi.org/10.1109/tgrs.2018.2828029openalex-snapshot
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/tip.2017.2675341openalex-snapshot
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tnnls.2013.2292894openalex-snapshot
Classification in the Presence of Label Noise: A Survey
inferredcites →https://doi.org/10.1109/tnnls.2015.2477537openalex-snapshot
Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-snapshot
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
inferredcites →https://doi.org/10.1109/tpami.2015.2456899openalex-snapshot
Classification with Noisy Labels by Importance Reweighting
inferredcites →https://doi.org/10.1145/2133360.2133363openalex-snapshot
Isolation-Based Anomaly Detection
inferredcites →https://doi.org/10.1364/josaa.32.001604openalex-snapshot
Hyperspectral image denoising using the robust low-rank tensor recovery
inferredcites →https://doi.org/10.3115/1613715.1613751openalex-snapshot
Cheap and fast---but is it good?
inferredcites →https://doi.org/10.3390/rs9020139openalex-snapshot
Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification
inferredcites →https://doi.org/10.3390/rs9020173openalex-snapshot
Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series
inferredcites →https://doi.org/10.3390/rs9090872openalex-snapshot
Multiscale Union Regions Adaptive Sparse Representation for Hyperspectral Image Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Meta-Learning Lifetime Prediction Approach for Lithium-Ion Batteries Considering Label Noise
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DIER ‐Net: Debiased Learning With Medical Image Noisy Label by Intrinsic and Extrinsic Regularization
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Spatial-Frequency Domain Information Integration for Pan-Sharpening
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Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification
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Central spectral-spatial context attention for hyperspectral image classification
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Multi-view Robust Discriminative Feature Learning for Remote Sensing Image with Noisy Labels
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Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach
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Unsupervised clustering for intrinsic mode functions selection in Hyperspectral image classification
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Hyperspectral Image Classification Based on Segmented Local Binary Patterns
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Automated building and road classifications from hyperspectral imagery through a fully convolutional network and support vector machine
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Label-noise robust classification with multi-view learning
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Multi-channel EEG-based emotion recognition in the presence of noisy labels
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DANTP: Data Augmentation Network Based on Transformation Prediction for Hyperspectral Image Classification with Label Noise
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DEA: Hyperspectral data high-throughput extraction and analysis software
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Modified-mean-shift-based noisy label detection for hyperspectral image classification
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Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts
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Local-global routing between capsules for hyperspectral image classification with noisy labels
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LFAH-Net: Laplacian frequency aware hierarchical network for hyperspectral image classification
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Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering
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Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels
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Meta-learning collaborative optimization for lifetime prediction of lithium-ion batteries considering label noise
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An improved categorical cross entropy for remote sensing image classification based on noisy labels
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Identifying moldy peanut using hyperspectral imaging by correction of noisy labelling
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A Novel Label Smoothing Technique for Machine Degradation
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Hyperspectral band selection via region-aware latent features fusion based clustering
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Mining and reasoning of data uncertainty-induced imprecision in deep image classification
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Image classification with deep learning in the presence of noisy labels: A survey
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Non-overlapping classification of hyperspectral imagery based on set-to-sets distance
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Spectral-spatial classification for hyperspectral image based on a single GRU
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Graph regularized spatial–spectral subspace clustering for hyperspectral band selection
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Label noise learning based SAR target classification method
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Learning hyperspectral noisy label with global and local hypergraph laplacian energy
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Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels
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Hyperspectral image classification under label noise via multi-scale dual-view graph and dual-homogeneity
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Stochastic image spectroscopy: a discriminative generative approach to hyperspectral image modelling and classification
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Probabilistic machine learning for noisy labels in Earth observation
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Training redefinition with entropy-based structure set density for supervised hyperspectral imagery classification
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Intelligent agent for hyperspectral image classification with noisy labels: a deep reinforcement learning framework
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CTNet: an efficient coupled transformer network for robust hyperspectral unmixing
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Hyperspectral unmixing algorithm based on channel multi-scale dual-stream autoencode
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Adaptive graph clustering for hyperspectral band selection via joint spatial-spectral correlation and hybrid-order similarity
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Integrated hyperspectral imaging for enhanced landmine detection
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PF-DTCD: propagation filtering with dynamic threshold collaborative detection for Hyperspectral image label noise
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Interpretable land cover classification with modal decision trees
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Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels
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SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images
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Research on proportional parameter of random propagation algorithm with noisy labels
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Structured-Anchor Projected Clustering for Hyperspectral Images
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The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images
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GRU with Spatial Prior for Hyperspectral Image Classification
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Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network
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Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification
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Correcting Noisy Labels During the Classification of Hyperspectral Images
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Multi-View Deep Subspace Clustering for Hyperspectral Band Selection
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Noisy Labels Detection in Hyperspectral Image via Class-Dependent Collaborative Representation
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Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification
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Change Detection From Synthetic Aperture Radar Images via Dual Path Denoising Network
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DNN-Based PolSAR Image Classification on Noisy Labels
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ATRMME: A Tensor Ring-Based Feature Extraction Method for Hyperspectral Remote Sensing Image Classification Under Noisy Labels
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Dual-Stage Construction of Probability for Hyperspectral Image Classification
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Data Cleansing for Salt Dome Dataset With Noise Robust Network on Segmentation Task
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Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification
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Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification
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S2JO: Spatial–Spectral Joint Optimization for Hyperspectral Image Classification With Noisy Labels
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Consistency-Regularized Learning for Remote Sensing Scene Classification With Noisy Labels
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An Open-Set Domain Adaptation Framework for Hyperspectral Image Classification With Pixel-Aware Weighting and Decoupled Alignment
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Enhancing Label Noise Robustness for Hyperspectral Image Classification by Neighborhood Contrastive Learning
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Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives
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Synthetic Aperture Radar Images Changes Detection based on Random Label Propagation
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Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3623389openalex-snapshot
Uncertainty-Aware Local Bayesian Framework for Hyperspectral Image Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tcyb.2020.2989241openalex-snapshot
Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification
inferred← citeshttps://doi.org/10.1109/tcyb.2022.3191121openalex-snapshot
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tgrs.2018.2890040openalex-snapshot
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2896471openalex-snapshot
Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2902431openalex-snapshot
Edge-Enhanced GAN for Remote Sensing Image Superresolution
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2961141openalex-snapshot
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2971716openalex-snapshot
Adaptive MultiScale Segmentations for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2982064openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2997863openalex-snapshot
Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3040342openalex-snapshot
Sampling Robustness in Gradient Analysis of Urban Material Mixtures
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3040879openalex-snapshot
A Superpixel Guided Sample Selection Neural Network for Handling Noisy Labels in Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3057689openalex-snapshot
Dual-Channel Residual Network for Hyperspectral Image Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3065507openalex-snapshot
Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3091482openalex-snapshot
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3094884openalex-snapshot
TANet: An Unsupervised Two-Stream Autoencoder Network for Hyperspectral Unmixing
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3121397openalex-snapshot
Label Noise Modeling and Correction via Loss Curve Fitting for SAR ATR
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3121671openalex-snapshot
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3128539openalex-snapshot
Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3156646openalex-snapshot
SQAD: Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3162100openalex-snapshot
Local Correntropy Matrix Representation for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3166817openalex-snapshot
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3203207openalex-snapshot
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3216732openalex-snapshot
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3254159openalex-snapshot
Attentive-Adaptive Network for Hyperspectral Images Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3292142openalex-snapshot
Triple Contrastive Representation Learning for Hyperspectral Image Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3330474openalex-snapshot
Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3331236openalex-snapshot
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3337652openalex-snapshot
Robust Remote Sensing Image Cross-Scene Classification Under Noisy Environment
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3368079openalex-snapshot
Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3432792openalex-snapshot
Iterative Sample Generation and Balance Approach for Improving Hyperspectral Remote Sensing Imagery Classification With Deep Learning Network
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3519092openalex-snapshot
TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3523022openalex-snapshot
Frequency and Spatial Domain Injection Network for Methane Plumes Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3560329openalex-snapshot
Bidirectional Stacking Ensemble Curriculum Learning for Hyperspectral Image Imbalanced Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3563922openalex-snapshot
A Robust Co-Training Framework to Handle Noisy Labels for Remote Sensing Image Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3600105openalex-snapshot
Uncertainty-Aware Noisy Label Learning for Remote Sensing Change Detection
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3624045openalex-snapshot
Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3667188openalex-snapshot
Multiview Multilevel Robust Deep Subspace Clustering for Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3672449openalex-snapshot
FuzzyCD: A Fuzzy Logic-Integrated Network for Robust Remote Sensing Change Detection With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3679363openalex-snapshot
Ensemble Margin Learning for Noise-Robust Classification of Hyperspectral Remote Sensing Datasets
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3686611openalex-snapshot
Domain Dropout-Driven Prototype Enhancement Network for Cross-Domain Few-Shot Hyperspectral Change Detection
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3731629openalex-snapshot
High-Order Graph Regularized Sparse Projection for Unsupervised Hyperspectral Band Selection
inferred← citeshttps://doi.org/10.1109/tim.2022.3176286openalex-snapshot
Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation
inferred← citeshttps://doi.org/10.1109/tim.2023.3342836openalex-snapshot
SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tmi.2021.3140140openalex-snapshot
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3029523openalex-snapshot
Multilayer Spectral–Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3114203openalex-snapshot
Adversarial Autoencoder Network for Hyperspectral Unmixing
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3212985openalex-snapshot
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3274745openalex-snapshot
Deep Ring-Block-Wise Network for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3279931openalex-snapshot
Rethinking Pan-Sharpening in Closed-Loop Regularization
inferred← citeshttps://doi.org/10.1111/phor.70069openalex-snapshot
VegeSSL : A Multistage Contrastive Learning Framework Combining Self‐Supervised Representation and Label‐Guided Refinement for Segment‐Level Noisy Label Detection in Remote Sensing Data
inferred← citeshttps://doi.org/10.1117/1.jei.34.2.023044openalex-snapshot
Graph-weighted contrastive learning for semi-supervised hyperspectral image classification
inferred← citeshttps://doi.org/10.1117/1.jrs.14.036509openalex-snapshot
Semisupervised collaborative representation graph embedding for hyperspectral imagery
inferred← citeshttps://doi.org/10.1145/3459637.3482204openalex-snapshot
Towards Robustness to Label Noise in Text Classification via Noise Modeling
inferred← citeshttps://doi.org/10.1145/3503161.3547774openalex-snapshot
Normalization-based Feature Selection and Restitution for Pan-sharpening
inferred← citeshttps://doi.org/10.1145/3503161.3547924openalex-snapshot
Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening
inferred← citeshttps://doi.org/10.1145/3625343.3625363openalex-snapshot
Dual Confident Learning-based Network for Hyperspectral Image Classification with Noisy Labels
inferred← citeshttps://doi.org/10.1145/3653983openalex-snapshot
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items
inferred← citeshttps://doi.org/10.1145/3746027.3755839openalex-snapshot
Multi-view Collaborative Representation Learning from Noisy Labels for VHR Imagery Classification
inferred← citeshttps://doi.org/10.1155/2020/8478016openalex-snapshot
Broad Learning System with Locality Sensitive Discriminant Analysis for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1177/14759217241277243openalex-snapshot
Bearing fault diagnosis method based on improved meta-ResNet and sample weighting under noise label
inferred← citeshttps://doi.org/10.1371/journal.pone.0238165openalex-snapshot
Automatic classification of fine-scale mountain vegetation based on mountain altitudinal belt
inferred← citeshttps://doi.org/10.3390/app12136797openalex-snapshot
Spatial Perception Correntropy Matrix for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/app14051756openalex-snapshot
An Adaptive Weighted Method for Remote Sensing Image Retrieval with Noisy Labels
inferred← citeshttps://doi.org/10.3390/e24020291openalex-snapshot
Multiscale Geometric Analysis Fusion-Based Unsupervised Change Detection in Remote Sensing Images via FLICM Model
inferred← citeshttps://doi.org/10.3390/info17090864openalex-snapshot
Zero-Shot Annotation by Large Language Model with Serial Correction of Mixed Label Corruption for Weakly Supervised Financial News Classification
inferred← citeshttps://doi.org/10.3390/rs10111700openalex-snapshot
Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution
inferred← citeshttps://doi.org/10.3390/rs11080911openalex-snapshot
Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation
inferred← citeshttps://doi.org/10.3390/rs11080963openalex-snapshot
Spectral-Spatial Attention Networks for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs11091116openalex-snapshot
Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs11111307openalex-snapshot
Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs11171983openalex-snapshot
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine
inferred← citeshttps://doi.org/10.3390/rs11202434openalex-snapshot
Hyperspectral Unmixing with Gaussian Mixture Model and Spatial Group Sparsity
inferred← citeshttps://doi.org/10.3390/rs11222627openalex-snapshot
Purifying SLIC Superpixels to Optimize Superpixel-Based Classification of High Spatial Resolution Remote Sensing Image
inferred← citeshttps://doi.org/10.3390/rs11232823openalex-snapshot
Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification
inferred← citeshttps://doi.org/10.3390/rs11232868openalex-snapshot
Scattering Transform Framework for Unmixing of Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/rs12010159openalex-snapshot
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training
inferred← citeshttps://doi.org/10.3390/rs12010188openalex-snapshot
CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs12091432openalex-snapshot
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
inferred← citeshttps://doi.org/10.3390/rs12152376openalex-snapshot
Remote Sensing Image Scene Classification with Noisy Label Distillation
inferred← citeshttps://doi.org/10.3390/rs13020268openalex-snapshot
Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data
inferred← citeshttps://doi.org/10.3390/rs13081532openalex-snapshot
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions
inferred← citeshttps://doi.org/10.3390/rs13091689openalex-snapshot
Deep Learning Network Intensification for Preventing Noisy-Labeled Samples for Remote Sensing Classification
inferred← citeshttps://doi.org/10.3390/rs13214194openalex-snapshot
Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China
inferred← citeshttps://doi.org/10.3390/rs13245009openalex-snapshot
Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning
inferred← citeshttps://doi.org/10.3390/rs14030681openalex-snapshot
Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs15102543openalex-snapshot
Agreement and Disagreement-Based Co-Learning with Dual Network for Hyperspectral Image Classification with Noisy Labels
inferred← citeshttps://doi.org/10.3390/rs15174235openalex-snapshot
Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution
inferred← citeshttps://doi.org/10.3390/rs15184642openalex-snapshot
A Decompressed Spectral-Spatial Multiscale Semantic Feature Network for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs16132499openalex-snapshot
An Adaptive Noisy Label-Correction Method Based on Selective Loss for Hyperspectral Image-Classification Problem
inferred← citeshttps://doi.org/10.3390/rs16183527openalex-snapshot
Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy Labels
inferred← citeshttps://doi.org/10.3390/rs16224247openalex-snapshot
Ensemble Network-Based Distillation for Hyperspectral Image Classification in the Presence of Label Noise
inferred← citeshttps://doi.org/10.3390/s18061978openalex-snapshot
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter
inferred← citeshttps://doi.org/10.3390/s20185262openalex-snapshot
A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information
inferred← citeshttps://doi.org/10.3390/s22093229openalex-snapshot
Robust Spatial–Spectral Squeeze–Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/s24123912openalex-snapshot
Remote Sensing Image Classification Based on Canny Operator Enhanced Edge Features
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