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Spectral-Spatial Unified Networks for Hyperspectral Image Classification

https://doi.org/10.1109/tgrs.2018.2827407

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What this work says

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

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Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images

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inferredcites →https://doi.org/10.1109/tgrs.2016.2616355openalex-snapshot

Hyperspectral Image Classification Using Deep Pixel-Pair Features

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inferredcites →https://doi.org/10.1109/tgrs.2017.2698503openalex-snapshot

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inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot

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LIBSVM

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

Deep Convolutional Neural Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

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What points at this work

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

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Hyperspectral Image Classification Based on CNN with Spectral-Spatial features

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HCMA: Hybrid-Convolutional Multi-Attention

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Hyperspectral Spectral-Spatial Attention Network (HSSAN): A Novel Deep Learning Approach for Hyperspectral Image Classification

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Fuzzy aggregation for multimodal remote sensing classification

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Hyper Spectral Satellite Image Classification Based Land And Water Bodies Area Detection Using Machine Learning And Opencv Techniques

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Spectral-Spatial Group Attention Transformer for Palm Tree Mapping in Arid Environments: a Case Study on Al Ain Municipality Hyperspectral Data

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Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification

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Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery

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Hierarchical Receptive-Field Selection with Attention ResNet for Hyperspectral Image Classification

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From Orbit to Insight: A Study on the Collection and Curation of Satellite Imagery Datasets

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Group Convolutional Neural Networks for Hyperspectral Image Classification

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Research on Labeling Method for Fungal Diseases in Murals Based on Hyperspectral Images

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Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification

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The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images

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Hyperspectral Image Acquisition Methods and Processing Techniques Based on Traditional and Deep Learning Methodologies-A Study

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Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing

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Can We Generate Good Samples for Hyperspectral Classification? — A Generative Adversarial Network Based Method

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Joint Multilayer Spatial-Spectral Classification of Hyperspectral Images Based on CNN and Convlstm

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Hyperspectral Image Classification Based on Non-Local Neural Networks

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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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Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network

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Multiscale Spectral-Spatial Unified Networks For Hyperspectral Image Classification

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Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification

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Collaborative Classification of Hyperspectral and LiDAR Data Based on Dual-Branch Convolutional Neural Network

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Convolution Enhanced Spatial-Spectral Unified Transformer Network for Hyperspectral Image Classification

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EDLAD: An Encoder-Decoder Long Short-Term Memory Network-Based Anomaly Detector for Hyperspectral Images

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How to Construct a Deep Network-Based Hyperspectral Target Detector? ‐‐‐‐‐ A LSTM Inspired Method

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Automatically Adjustable Multi-Scale Feature Extraction Framework for Hyperspectral Image Classification

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LGFormer: Local-to-Global Transformer for Hyperspectral Image Classification

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Hyperspectral Image-Text Coupling Network For Hyperspectral Image Classification

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Vegetation-Specific Hyperspectral Band Selection for Binary-to-Multiclass Classification

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CNN-Based Multilayer Spatial–Spectral Feature Fusion and Sample Augmentation With Local and Nonlocal Constraints for Hyperspectral Image Classification

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Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

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Hyperspectral Image Classification Method Based on CNN Architecture Embedding With Hashing Semantic Feature

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A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion

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Multi-GPU Implementation of Nearest-Regularized Subspace Classifier for Hyperspectral Image Classification

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A Novel Cubic Convolutional Neural Network for Hyperspectral Image Classification

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3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification

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PolSAR Image Classification Based on Low-Frequency and Contour Subbands-Driven Polarimetric SENet

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Global Prototypical Network for Few-Shot Hyperspectral Image Classification

inferred← citeshttps://doi.org/10.1109/jstars.2020.3035382openalex-snapshot

Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification

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Joint Classification of Hyperspectral and Multispectral Images for Mapping Coastal Wetlands

inferred← citeshttps://doi.org/10.1109/jstars.2021.3115129openalex-snapshot

Siamese Spectral Attention With Channel Consistency for Hyperspectral Image Classification

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A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification

inferred← citeshttps://doi.org/10.1109/jstars.2021.3133009openalex-snapshot

Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network

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Double Attention Based Multilevel One-Dimensional Convolution Neural Network for Hyperspectral Image Classification

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Mapping Coastal Wetlands Using Transformer in Transformer Deep Network on China ZY1-02D Hyperspectral Satellite Images

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Fine-Grained Classification of Urban Functional Zones and Landscape Pattern Analysis Using Hyperspectral Satellite Imagery: A Case Study of Wuhan

inferred← citeshttps://doi.org/10.1109/jstars.2022.3187972openalex-snapshot

HyperspectraI Image Classification With Diverse Region Multiscale Feature Extraction and Spectral Imaging

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S3AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification

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Enhanced Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification

inferred← citeshttps://doi.org/10.1109/jstars.2022.3233125openalex-snapshot

Bag-of-Features-Driven Spectral-Spatial Siamese Neural Network for Hyperspectral Image Classification

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Hyperspectral Image Classification Based on Unsupervised Regularization

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Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification

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Fully Convolutional Spectral–Spatial Fusion Network Integrating Supervised Contrastive Learning for Hyperspectral Image Classification

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An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images

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Expeditious Hyperspectral Image Classification With Inner and Outer Layered Transformer Using Feature Enhancement

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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review

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Hyperspectral Image Few-Shot Classification Based on Spatial–Spectral Information Complementation and Multilatent Domain Generalization

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From Data to Knowledge: A Knowledge Graph-Guided Framework to Deep Learning for Hyperspectral Image Classification

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V3IP Model: A Multiview Vegetation Information Perception Network for Wetland Mapping With Hyperspectral Imagery

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End-to-End 3-D Transformer Semantic Segmentation Architecture for Few-Shot Classification With Hyperspectral Multiscale Spatial–Spectral Attention

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LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing

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Transferring CNN Ensemble for Hyperspectral Image Classification

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An End-to-End Hyperspectral Image Classification Method Using Deep Convolutional Neural Network With Spatial Constraint

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Hyperspectral Image Classification Based on Multiscale Spectral–Spatial Deformable Network

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Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification

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A Deep Transfer Learning Method for Estimating Fractional Vegetation Cover of Sentinel-2 Multispectral Images

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Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification

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Hierarchical Feature Fusion and Selection for Hyperspectral Image Classification

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An Attention-Enhanced Feature Fusion Network (AeF 2 N) for Hyperspectral Image Classification

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S2TNet: Spectral–Spatial Triplet Network for Few-Shot Hyperspectral Image Classification

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Hyperspectral Image Classification Based on Atrous Convolution Channel Attention-Aided Dense Convolutional Neural Network

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PHDMamba: Progressive Hybrid Mamba for Hyperspectral Image Classification

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Attribute Profiles Without Thresholds Through Histogram Based Tree Path Description

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Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

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Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities

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Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

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HybridSSCN: Analysis Of Hierarchical Feature Learning Architecture Using Blended Conv3D And DepthwiseConv2D For Hyperspectral Image Classification

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Hyperspectral Target Detection Using Long Short-Term Memory and Spectral Angle Mapper

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Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification

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Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter

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2018 Index IEEE Transactions on Geoscience and Remote SensingVol. 56

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Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network

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Spectral–Spatial Hyperspectral Image Classification Using a Multiscale Conservative Smoothing Scheme and Adaptive Sparse Representation

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Deep Multigrained Cascade Forest for Hyperspectral Image Classification

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Cross-Data Set Hyperspectral Image Classification Based on Deep Domain Adaptation

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HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers

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Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification

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FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

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Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification

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Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses

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Classification of Hyperspectral Images via Multitask Generative Adversarial Networks

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Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

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Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search

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A Lightweight Convolutional Neural Network for Hyperspectral Image Classification

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Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening

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Automatic Clustering-Based Two-Branch CNN for Hyperspectral Image Classification

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A Superpixel Guided Sample Selection Neural Network for Handling Noisy Labels in Hyperspectral Image Classification

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Enhanced Multiscale Feature Fusion Network for HSI Classification

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Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification

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Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification

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SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyperspectral Imagery With High Spatial and Spectral Resolutions

inferred← citeshttps://doi.org/10.1109/tgrs.2021.3050491openalex-snapshot

Fully Contextual Network for Hyperspectral Scene Parsing

inferred← citeshttps://doi.org/10.1109/tgrs.2021.3051056openalex-snapshot

Feature-Grouped Network With Spectral–Spatial Connected Attention for Hyperspectral Image Classification

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Feedback Attention-Based Dense CNN for Hyperspectral Image Classification

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Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples

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