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Deep Learning for Classification of Hyperspectral Data: A Comparative Review

https://doi.org/10.1109/mgrs.2019.2912563

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-54181-5_12openalex-snapshot

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

inferredcites →https://doi.org/10.1007/bf00121320openalex-snapshot

Atmospheric correction of infrared measurements of sea surface temperature using channels at 3.7, 11 and 12 ?m

inferredcites →https://doi.org/10.1007/s00500-016-2246-3openalex-snapshot

Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.01.006openalex-snapshot

Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions

inferredcites →https://doi.org/10.1016/j.patcog.2010.01.016openalex-snapshot

Segmentation and classification of hyperspectral images using watershed transformation

inferredcites →https://doi.org/10.1016/j.patcog.2011.03.035openalex-snapshot

A spatial–spectral kernel-based approach for the classification of remote-sensing images

inferredcites →https://doi.org/10.1016/j.rse.2007.12.015openalex-snapshot

Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean

inferredcites →https://doi.org/10.1016/s0168-1699(03)00020-6openalex-snapshot

Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn

inferredcites →https://doi.org/10.1080/01431161.2010.512425openalex-snapshot

Extended profiles with morphological attribute filters for the analysis of hyperspectral data

inferredcites →https://doi.org/10.1080/01431169408954055openalex-snapshot

SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum

inferredcites →https://doi.org/10.1080/2150704x.2015.1047045openalex-snapshot

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

inferredcites →https://doi.org/10.1080/2150704x.2015.1062157openalex-snapshot

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

inferredcites →https://doi.org/10.1080/2150704x.2017.1331053openalex-snapshot

A semi-supervised convolutional neural network for hyperspectral image classification

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/icalip.2018.8455251openalex-snapshot

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

inferredcites →https://doi.org/10.1109/icics.2013.6782778openalex-snapshot

Spectral-spatial classification of hyperspectral image using autoencoders

inferredcites →https://doi.org/10.1109/icip.2014.7026039openalex-snapshot

Classification of hyperspectral image based on deep belief networks

inferredcites →https://doi.org/10.1109/icip.2017.8297014openalex-snapshot

Multi-scale 3D deep convolutional neural network for hyperspectral image classification

inferredcites →https://doi.org/10.1109/igarss.2015.7326945openalex-snapshot

Deep supervised learning for hyperspectral data classification through convolutional neural networks

inferredcites →https://doi.org/10.1109/igarss.2016.7729675openalex-snapshot

Semi-supervised Conditional Random Field for hyperspectral remote sensing image classification

inferredcites →https://doi.org/10.1109/igarss.2018.8518321openalex-snapshot

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples

inferredcites →https://doi.org/10.1109/jproc.2012.2197589openalex-snapshot

Advances in Spectral-Spatial Classification of Hyperspectral Images

inferredcites →https://doi.org/10.1109/jstars.2014.2304304openalex-snapshot

PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/jstars.2014.2329330openalex-snapshot

Deep Learning-Based Classification of Hyperspectral Data

inferredcites →https://doi.org/10.1109/jstars.2015.2388577openalex-snapshot

Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

inferredcites →https://doi.org/10.1109/jstars.2016.2517204openalex-snapshot

Spectral–Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder

inferredcites →https://doi.org/10.1109/lgrs.2004.837009openalex-snapshot

Exploiting Spectral and Spatial Information in Hyperspectral Urban Data With High Resolution

inferredcites →https://doi.org/10.1109/lgrs.2005.846011openalex-snapshot

On the Impact of PCA Dimension Reduction for Hyperspectral Detection of Difficult Targets

inferredcites →https://doi.org/10.1109/lgrs.2005.857031openalex-snapshot

Composite Kernels for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/lgrs.2006.878240openalex-snapshot

Band Selection for Hyperspectral Image Classification Using Mutual Information

inferredcites →https://doi.org/10.1109/lgrs.2015.2482520openalex-snapshot

Unsupervised Spectral–Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification

inferredcites →https://doi.org/10.1109/lgrs.2018.2817361openalex-snapshot

GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data

inferredcites →https://doi.org/10.1109/mgrs.2013.2244672openalex-snapshot

Hyperspectral Remote Sensing Data Analysis and Future Challenges

inferredcites →https://doi.org/10.1109/mgrs.2017.2762087openalex-snapshot

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

inferredcites →https://doi.org/10.1109/mgrs.2017.2762307openalex-snapshot

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

inferredcites →https://doi.org/10.1109/mgrs.2018.2798161openalex-snapshot

2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees]

inferredcites →https://doi.org/10.1109/tgrs.2002.802494openalex-snapshot

Spatial/spectral endmember extraction by multidimensional morphological operations

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.2009.2016214openalex-snapshot

Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques

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.2014.2350771openalex-snapshot

A Physics-Based Unmixing Method to Estimate Subpixel Temperatures on Mixed Pixels

inferredcites →https://doi.org/10.1109/tgrs.2015.2478379openalex-snapshot

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2015.2513424openalex-snapshot

Vector Attribute Profiles for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2016.2543748openalex-snapshot

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

inferredcites →https://doi.org/10.1109/tgrs.2016.2584107openalex-snapshot

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tgrs.2016.2616585openalex-snapshot

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tgrs.2016.2636241openalex-snapshot

Deep Recurrent Neural Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2016.2642479openalex-snapshot

Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2748160openalex-snapshot

Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2018.2805286openalex-snapshot

Generative Adversarial Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2018.2818945openalex-snapshot

3-D Deep Learning Approach for Remote Sensing Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2018.2833808openalex-snapshot

Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery

inferredcites →https://doi.org/10.1109/tgrs.2018.2856929openalex-snapshot

EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing

inferredcites →https://doi.org/10.1109/tip.2017.2725580openalex-snapshot

Going Deeper With Contextual CNN for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tip.2017.2772836openalex-snapshot

Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/warsd.2003.1295217openalex-snapshot

Band selection and its impact on target detection and classification in hyperspectral image analysis

inferredcites →https://doi.org/10.1109/whispers.2015.8075378openalex-snapshot

Hyperspectral image unmixing using autoencoder cascade

inferredcites →https://doi.org/10.1117/12.2245011openalex-snapshot

Semi-supervised classification of hyperspectral imagery based on stacked autoencoders

inferredcites →https://doi.org/10.1117/12.339824openalex-snapshot

Support vector machines for hyperspectral remote sensing classification

inferredcites →https://doi.org/10.1145/2660859.2660946openalex-snapshot

Deep Model for Classification of Hyperspectral image using Restricted Boltzmann Machine

inferredcites →https://doi.org/10.1145/2733373.2806306openalex-snapshot

Hyperspectral Image Classification with Convolutional Neural Networks

inferredcites →https://doi.org/10.1155/2015/258619openalex-snapshot

Deep Convolutional Neural Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1155/2016/3632943openalex-snapshot

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot

Backpropagation Applied to Handwritten Zip Code Recognition

inferredcites →https://doi.org/10.3390/rs9010067openalex-snapshot

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

inferredcites →https://doi.org/10.3390/rs9030196openalex-snapshot

Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification

inferredcites →https://doi.org/10.3390/rs9030298openalex-snapshot

Convolutional Recurrent Neural Networks forHyperspectral Data Classification

inferredcites →https://doi.org/10.3390/rs9101042openalex-snapshot

Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.5194/isprs-annals-iii-3-473-2016openalex-snapshot

SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

inferredcites →https://doi.org/10.5194/isprsannals-iii-3-473-2016openalex-snapshot

SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

inferredcites →https://doi.org/10.5194/isprsarchives-xl-3-w3-459-2015openalex-snapshot

EXTRACTION OF OPTIMAL SPECTRAL BANDS USING HIERARCHICAL BAND MERGING OUT OF HYPERSPECTRAL DATA

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Robust Dimension Reduction Technique for Hyperspectral Blood Stain Image Classification

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An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders

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Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems

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Enhancing hyperspectral image classification: DeepXTE for efficient semantic feature extraction

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Physics-informed variational autoencoders for improved robustness to environmental factors of variation

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Hyperspectral imaging of grains uncovers the genetic architecture of nitrogen response of development in bread wheat

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Optimized weighted local kernel features for hyperspectral image classification

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Hyperspectral image classification via parallel multi-input mechanism-based convolutional neural network

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Towards explainable AI for hyperspectral image classification in Edge Computing environments

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111021openalex-snapshot

DSaC-ViT: Multi-scale guided upsampling fusion and parallel fusion vision transformer for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2024.102339openalex-snapshot

CrossU-Net: Dual-modality cross-attention U-Net for segmentation of precancerous lesions in gastric cancer

inferred← citeshttps://doi.org/10.1016/j.cosrev.2023.100584openalex-snapshot

Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges

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Multiscale spectral-spatial feature learning for hyperspectral image classification

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A new CNN training approach with application to hyperspectral image classification

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Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103534openalex-snapshot

Harnessing hyperspectral imaging and deep learning for terrestrial habitat mapping in arid landscapes: A case study in Saudi Arabia

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103607openalex-snapshot

Mapping alpine grassland species with the VI-MDACvT model based on UAV hyperspectral imagery

inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.111608openalex-snapshot

A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106017openalex-snapshot

MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106234openalex-snapshot

Quaternion convolutional neural networks for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113597openalex-snapshot

An innovative feature clustering paradigm based on Hypergraph cooperative graph convolutional network for hyperspectral image classification

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Current advances in imaging spectroscopy and its state-of-the-art applications

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123155openalex-snapshot

Hyperspectral image classification based on a novel Lush multi-layer feature fusion bias network

inferred← citeshttps://doi.org/10.1016/j.future.2023.05.003openalex-snapshot

Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy

inferred← citeshttps://doi.org/10.1016/j.gsf.2021.101203openalex-snapshot

Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India

inferred← citeshttps://doi.org/10.1016/j.gsf.2022.101425openalex-snapshot

Multi-hazard susceptibility mapping based on Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1016/j.gsf.2023.101562openalex-snapshot

Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data

inferred← citeshttps://doi.org/10.1016/j.icarus.2021.114849openalex-snapshot

A machine learning toolkit for CRISM image analysis

inferred← citeshttps://doi.org/10.1016/j.ifacol.2025.11.771openalex-snapshot

3D Convolutional Networks Outperform Traditional Methods for Strawberry Analysis with Spectral Imaging

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103257openalex-snapshot

Land cover change detection with hyperspectral remote sensing images: A survey

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104736openalex-snapshot

MCEF: Multiscale contrastive enhanced fusion network for hyperspectral and LiDAR data classification

inferred← citeshttps://doi.org/10.1016/j.infrared.2022.104470openalex-snapshot

Spatial-spectral classification of hyperspectral remote sensing images using 3D CNN based LeNet-5 architecture

inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104666openalex-snapshot

Fast low-rank-matrix-based connection center evolution for large hyperspectral image clustering

inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107281openalex-snapshot

Robustness assessment of hyperspectral image CNNs using metamorphic testing

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.09.006openalex-snapshot

Deep learning classifiers for hyperspectral imaging: A review

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.10.015openalex-snapshot

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.04.001openalex-snapshot

Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.04.020openalex-snapshot

On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.05.003openalex-snapshot

Toulouse Hyperspectral Data Set: A benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.09.020openalex-snapshot

Mineral detection based on hyperspectral remote sensing imagery on Mars: From detection methods to fine mapping

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.03.029openalex-snapshot

Material proportion guided hyperspectral image super-resolution via unmixing

inferred← citeshttps://doi.org/10.1016/j.jag.2021.102456openalex-snapshot

A review on deep learning in UAV remote sensing

inferred← citeshttps://doi.org/10.1016/j.jag.2021.102603openalex-snapshot

Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review

inferred← citeshttps://doi.org/10.1016/j.jag.2022.103022openalex-snapshot

WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification

inferred← citeshttps://doi.org/10.1016/j.jag.2022.103095openalex-snapshot

A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples

inferred← citeshttps://doi.org/10.1016/j.jag.2023.103326openalex-snapshot

Unsupervised stepwise extraction of offshore aquaculture ponds using super-resolution hyperspectral images

inferred← citeshttps://doi.org/10.1016/j.jag.2023.103482openalex-snapshot

A multi-level deformable gated aggregated network for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.jag.2024.103754openalex-snapshot

S 2 WaveNet: A novel spectral–spatial wave network for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.jag.2024.103876openalex-snapshot

Evaluating the potential of high-resolution hyperspectral UAV imagery for grapevine viral disease detection in Australian vineyards

inferred← citeshttps://doi.org/10.1016/j.jag.2024.104092openalex-snapshot

A local enhanced mamba network for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.jag.2024.104213openalex-snapshot

A mixed convolution and distance covariance matrix network for fine classification of corn straw cover types with fused hyperspectral and multispectral data

inferred← citeshttps://doi.org/10.1016/j.jag.2024.104308openalex-snapshot

PCET: Patch Confidence-Enhanced Transformer with efficient spectral–spatial features for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123410openalex-snapshot

Understanding ecosystem services of detailed forest and wetland types using remote sensing and deep learning techniques in Northern China

inferred← citeshttps://doi.org/10.1016/j.jfca.2024.106404openalex-snapshot

SC-HybridSN: A deep learning network method for rapid discriminant analysis of industrial paraffin contamination levels in rice

inferred← citeshttps://doi.org/10.1016/j.jfca.2025.107857openalex-snapshot

Reinforcement Intelligence for Spectral Enhancement (RISE): A novel feature extraction method for hyperspectral prediction of sugar content in Citrus reticulata 'Chun Jian'

inferred← citeshttps://doi.org/10.1016/j.jfca.2025.108041openalex-snapshot

MT-NIRNet: A multi-task deep learning framework for classifying polygonatum origins and varieties based on near-infrared spectroscopy

inferred← citeshttps://doi.org/10.1016/j.jfca.2026.108985openalex-snapshot

Explainable AI-driven hyperspectral imaging for non-destructive geographical discrimination of small-fruited sea buckthorn: Metabolic correlations and feature optimization

inferred← citeshttps://doi.org/10.1016/j.jfranklin.2024.107285openalex-snapshot

Class incremental learning with analytic learning for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.jfranklin.2024.107464openalex-snapshot

A new feature extraction scheme based on support optimization in Enhanced Multivariance Products Representation for Hyperspectral Imagery

inferred← citeshttps://doi.org/10.1016/j.jfranklin.2025.107532openalex-snapshot

DCA-Unet: Enhancing small object segmentation in hyperspectral images with Dual Channel Attention Unet

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124482openalex-snapshot

Flood susceptibility mapping using convolutional neural network frameworks

inferred← citeshttps://doi.org/10.1016/j.jrmge.2025.03.018openalex-snapshot

Partition feature extraction of hyperspectral images for in situ intelligent lithology identification

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113973openalex-snapshot

HyperFKAN: A parallelized Fourier series-based KAN for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114372openalex-snapshot

IRTF: A new tensor factorization for irregular multidimensional data recovery

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114908openalex-snapshot

Spectral context-aware frequency alignment for few-shot hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116972openalex-snapshot

KnowCL: A Universal Knowledge Embedded Contrastive Learning framework for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.lwt.2026.119989openalex-snapshot

Application of a meta-learning-based hyperspectral modeling approach for rapid quantitative prediction of adulteration content in Salvia miltiorrhiza

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.11.092openalex-snapshot

Deep hybrid dilated residual networks for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.01.054openalex-snapshot

Semi-supervised feature learning for disjoint hyperspectral imagery classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128885openalex-snapshot

Hyperspectral image restoration via RPCA model based on spectral-spatial correlated total variation regularizer

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130722openalex-snapshot

Dual-alignment cross-domain few-shot learning with lightweight domain-specific attention for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131016openalex-snapshot

ConvMamba: Combining Mamba with CNN for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109200openalex-snapshot

Ultralightweight progressive feature disentanglement and recomposition network for hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112839openalex-snapshot

ULDGN: Uncertainty-aware language-guided domain generalization network for cross-scene hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113549openalex-snapshot

Geometric algebra enhanced twin-branch contrastive network design for few-shot hyperspectral image classification

inferred← citeshttps://doi.org/10.1016/j.pss.2025.106218openalex-snapshot

Open-set mineral identification from CRISM hyperspectral data

inferred← citeshttps://doi.org/10.1016/j.rsase.2022.100823openalex-snapshot

Unsupervised segmentation of hyperspectral remote sensing images with superpixels

inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101390openalex-snapshot

High-resolution mapping of Blueberry scorch virus incidence using RGB and multispectral UAV images and deep learning

inferred← citeshttps://doi.org/10.1016/j.rse.2021.112322openalex-snapshot

Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.rse.2021.112652openalex-snapshot

A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms

inferred← citeshttps://doi.org/10.1016/j.rse.2024.114291openalex-snapshot

The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions

inferred← citeshttps://doi.org/10.1016/j.rse.2026.115301openalex-snapshot

Investigating the contributions of herbaceous vegetation biomass to soil accretion in Louisiana's coastal deltaic wetlands using airborne imaging spectroscopy

inferred← citeshttps://doi.org/10.1016/j.tifs.2021.04.042openalex-snapshot

Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

inferred← citeshttps://doi.org/10.1016/j.trac.2026.118769openalex-snapshot

Imaging technologies for multimodal and intelligent mycotoxin analysis and toxicity assessment: Principles, applications, and prospects

inferred← citeshttps://doi.org/10.1016/j.undsp.2025.05.011openalex-snapshot

Intelligent lithology identification via spectral-image fusion

inferred← citeshttps://doi.org/10.1021/acssensors.3c02663openalex-snapshot

Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data for Advanced Colorimetric E-Nose

inferred← citeshttps://doi.org/10.1029/2024jh000391openalex-snapshot

Explainable Machine Learning for Mapping Minerals From CRISM Hyperspectral Data

inferred← citeshttps://doi.org/10.1038/s41467-022-27980-yopenalex-snapshot

Perspectives in machine learning for wildlife conservation

inferred← citeshttps://doi.org/10.1038/s41598-024-58125-4openalex-snapshot

Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification

inferred← citeshttps://doi.org/10.1038/s41598-024-69732-6openalex-snapshot

Stochastic image spectroscopy: a discriminative generative approach to hyperspectral image modelling and classification

inferred← citeshttps://doi.org/10.1038/s41598-025-03691-4openalex-snapshot

Deep learning twined spatial analysis for detection of mysterious fairy circles

inferred← citeshttps://doi.org/10.1038/s41598-025-87030-7openalex-snapshot

Superpixel guided spectral-spatial feature extraction and weighted feature fusion for hyperspectral image classification with limited training samples

inferred← citeshttps://doi.org/10.1038/s41598-026-49928-8openalex-snapshot

A hyperspectral imaging framework integrating band selection and deep learning for beverage stain classification in forensic analysis

inferred← citeshttps://doi.org/10.1038/s41598-026-52520-9openalex-snapshot

IL-HS: a deep inception-LSTM architecture for enhanced lithological mapping using EnMAP hyperspectral remote sensing data

inferred← citeshttps://doi.org/10.1039/d2an01139eopenalex-snapshot

Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning

inferred← citeshttps://doi.org/10.1039/d3ew00541kopenalex-snapshot

Towards non-contact pollution monitoring in sewers with hyperspectral imaging

inferred← citeshttps://doi.org/10.1049/cit2.70051openalex-snapshot

Exploring a Hybrid Convolutional Framework for Camouflage Target Classification in Land‐Based Hyperspectral Images

inferred← citeshttps://doi.org/10.1063/5.0260727openalex-snapshot

Hand gestures sign language recognition using CNN model

inferred← citeshttps://doi.org/10.1080/01431161.2020.1857877openalex-snapshot

Parametric study of convolutional neural network based remote sensing image classification

inferred← citeshttps://doi.org/10.1080/01431161.2021.1881184openalex-snapshot

Onsite age discrimination of an endangered medicinal and aromatic plant species Valeriana jatamansi using field hyperspectral remote sensing and machine learning techniques

inferred← citeshttps://doi.org/10.1080/01431161.2021.1949069openalex-snapshot

Bibliometric and visualized analysis of deep learning in remote sensing

inferred← citeshttps://doi.org/10.1080/01431161.2022.2048319openalex-snapshot

Deep learning in different remote sensing image categories and applications: status and prospects

inferred← citeshttps://doi.org/10.1080/01431161.2022.2055986openalex-snapshot

Spectral-spatial nearest subspace classifier for hyperspectral image classification

inferred← citeshttps://doi.org/10.1080/01431161.2022.2093621openalex-snapshot

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks

inferred← citeshttps://doi.org/10.1080/01431161.2022.2098078openalex-snapshot

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

inferred← citeshttps://doi.org/10.1080/01431161.2023.2171742openalex-snapshot

Three-branch attention deep model for hyperspectral image classification using cross fusion

inferred← citeshttps://doi.org/10.1080/01431161.2023.2232552openalex-snapshot

Enhanced crop classification through integrated optical and SAR data: a deep learning approach for multi-source image fusion

inferred← citeshttps://doi.org/10.1080/01431161.2023.2297178openalex-snapshot

Deep learning algorithms for hyperspectral remote sensing classifications: an applied review

inferred← citeshttps://doi.org/10.1080/01431161.2024.2307943openalex-snapshot

Dual-input ultralight multi-head self-attention learning network for hyperspectral image classification

inferred← citeshttps://doi.org/10.1080/01431161.2024.2311790openalex-snapshot

Leveraging adaptive spatial shifts multi-layer perceptron with parameterized spatial offsets for hyperspectral image classification

inferred← citeshttps://doi.org/10.1080/01431161.2024.2384098openalex-snapshot

Hierarchical homogeneity-based superpixel segmentation: application to hyperspectral image analysis

inferred← citeshttps://doi.org/10.1080/01431161.2024.2431174openalex-snapshot

HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection

inferred← citeshttps://doi.org/10.1080/01431161.2025.2589530openalex-snapshot

Decoding mangrove diversity through species classification in the Indian Sundarbans using PRISMA hyperspectral data

inferred← citeshttps://doi.org/10.1080/01431161.2026.2628300openalex-snapshot

Exploring EnMAP hyperspectral images and ensemble deep learning for classifying forest land-cover types in Brazil

inferred← citeshttps://doi.org/10.1080/01431161.2026.2662533openalex-snapshot

Data-efficient deep learning framework for estimating photosystem II fluorescence yield from leaf spectral reflectance: application of TabPFN to Betula ermanii

inferred← citeshttps://doi.org/10.1080/07038992.2020.1760714openalex-snapshot

Improving Spatial-Spectral Classification of Hyperspectral Imagery by Using Extended Minimum Spanning Forest Algorithm

inferred← citeshttps://doi.org/10.1080/07038992.2023.2248270openalex-snapshot

Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification

inferred← citeshttps://doi.org/10.1080/07038992.2024.2333424openalex-snapshot

Multi-Scale Dense Graph Attention Network for Hyperspectral Classification

inferred← citeshttps://doi.org/10.1080/17538947.2023.2229793openalex-snapshot

Classification of hyperspectral images using fusion of CNN and MiniGCN with SVM

inferred← citeshttps://doi.org/10.1080/2150704x.2024.2379513openalex-snapshot

Hyperspectral image classification using a deep relation network with random replacement data augmentation

inferred← citeshttps://doi.org/10.1080/22797254.2021.2023910openalex-snapshot

DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification

inferred← citeshttps://doi.org/10.1080/22797254.2022.2153747openalex-snapshot

Spatial-spectral hierarchical vision permutator for hyperspectral image classification

inferred← citeshttps://doi.org/10.1080/22797254.2023.2262738openalex-snapshot

Interpretable land cover classification with modal decision trees

inferred← citeshttps://doi.org/10.1088/1674-1056/ac8cd7openalex-snapshot

Learnable three-dimensional Gabor convolutional network with global affinity attention for hyperspectral image classification

inferred← citeshttps://doi.org/10.1088/1742-6596/1950/1/012087openalex-snapshot

Hyperspectral Image Classification Using Deep Learning Models: A Review

inferred← citeshttps://doi.org/10.1088/1742-6596/2562/1/012026openalex-snapshot

SSFN: a novel Spatial-Spectral FusionNet for hyperspectral image classification

inferred← citeshttps://doi.org/10.1109/access.2020.2997327openalex-snapshot

Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3297630openalex-snapshot

Tensor Robust CUR for Compression and Denoising of Hyperspectral Data

inferred← citeshttps://doi.org/10.1109/access.2023.3339565openalex-snapshot

Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination

inferred← citeshttps://doi.org/10.1109/access.2024.3359036openalex-snapshot

Tensor Completion Algorithm and Its Applications to Wireless Edge Caching and Hyper- Spectral Imaging

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