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Deep residual networks for hyperspectral image classification

https://doi.org/10.1109/igarss.2017.8127330
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot
Identity Mappings in Deep Residual Networks
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/igarss.2016.7729406openalex-snapshot
Fully convolutional networks for building and road extraction: Preliminary results
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/tgrs.2007.905311openalex-snapshot
Dimensionality Reduction Based on Clonal Selection for Hyperspectral Imagery
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.2012.2205004openalex-snapshot
Spherical Stochastic Neighbor Embedding of Hyperspectral Data
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/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
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/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

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

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Image Splicing Detection using Deep Residual Network
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Deep Sparse Band Selection for Hyperspectral Face Recognition
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Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts
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Multimodality in Misinformation Detection
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Prototype Normalization: Optimizing Prototype Separation for Heterogeneous Federated Learning
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A review of deep learning used in the hyperspectral image analysis for agriculture
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Hyperspectral image classification based on spectral and spatial information using ResNet with channel attention
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Brief Survey of Single Image Super-Resolution Reconstruction Based on Deep Learning Approaches
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A Cross-Domain Semi-Supervised Zero-Shot Learning Model for the Classification of Hyperspectral Images
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A Hybrid Deep ResNet and Inception Model for Hyperspectral Image Classification
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Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform
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AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection
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Deep learning classifiers for hyperspectral imaging: A review
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Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China
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HyperLoopNet: Hyperspectral image classification using multiscale self-looping convolutional networks
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Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review
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Co-weighting semantic convolutional features for object retrieval
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Cluster-based deep convolutional networks for spectral reconstruction from RGB images
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Wind direction retrieval from Sentinel-1 SAR images using ResNet
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Hyperspectral image classification using 3D 2D CNN
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Classification of images using INCEPTION algorithm in comparison with VGG-19 algorithm to measure accuracy
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Hyperspectral open set classification with unknown classes rejection towards deep networks
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Two-Stage Attention Network for hyperspectral image classification
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Hybrid deep learning and boosting for multi-source coastal scene classification using aerial imagery
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SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification
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Hyperspectral Classification of Two-Branch Joint Networks Based on Gaussian Pyramid Multiscale and Wavelet Transform
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A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification
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An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals
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An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
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Modified Convolutional Neural Network based on Adaptive Patch Extraction for Hyperspectral Image Classification
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Convolutional Neural Network Based Image Classification and it’s Comparison with Vgg-16 to Measure Accuracy
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Image Retrieval by Fusion of Features from Pre-trained Deep Convolution Neural Networks
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Hyperspectral Band Selection for Face Recognition Based on a Structurally Sparsified Deep Convolutional Neural Networks
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A Comparative Review of Deep Learning Paradigms for Hyperspectral Image Classification: From Small-Sample Learning to Modern Architectures
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Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification
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Assessment and Impact of Feature Extraction Methods for Hyperspectral Remote Sensing Image Classification Based on Deep Convolutional Neural Networks
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Retracted: Database Training: Requirement to Exploitation in Hyperspectral Imagery
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Dual-Channel Densenet for Hyperspectral Image Classification
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Hyperspectral Image Classification Via 3D-CNN MHSA Fusion Transformer
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Deep residual neural network-based classification of loaded and unloaded UAV images
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A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From WorldView-2 and LiDAR Data
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Crop Mapping Using Sentinel Full-Year Dual-Polarized SAR Data and a CPU-Optimized Convolutional Neural Network With Two Sampling Strategies
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A Hybrid Capsule Network for Hyperspectral Image Classification
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Predicting Classification Performance for Benchmark Hyperspectral Datasets
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Dual-Concentrated Network With Morphological Features for Tree Species Classification Using Hyperspectral Image
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MMSRC: A Multidirection Multiscale Spectral–Spatial Residual Network for Hyperspectral Multiclass Change Detection
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Diffusion Subspace Clustering for Hyperspectral Images
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EffBaGAN: An Efficient Balancing GAN for Earth Observation in Data Scarcity Scenarios
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Faster Multiscale Capsule Network With Octave Convolution for Hyperspectral Image Classification
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Classification Research Based on Residual Network for Hyperspectral Image
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AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network
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3-D Deep Learning Approach for Remote Sensing Image Classification
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Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification
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Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture
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Hyperspectral Imagery Classification Based on Contrastive Learning
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RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change Detection
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Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting
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A Center-Masked Transformer for Hyperspectral Image Classification
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Enhanced Seismic Attenuation Compensation: Integrating Attention Mechanisms With Residual Learning in Neural Networks
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Few-Shot Learning With Label Smoothing and Metric Space Optimization for Hyperspectral Image Classification
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Spatial–Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
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Superpixel-Integrated Dual-Stage Mamba for Hyperspectral Image Classification
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Reconstruction-Enhanced Prototype Network for Hyperspectral Image Open-Set Classification
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Diverse Region-Based CNN for Hyperspectral Image Classification
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Spatially augmented guided sequence-based bidirectional encoder representation from transformer networks for hyperspectral classification studies
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Hyperspectral image classification with residual learning networks
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Framework for Automatic Selection of Kernels based on Convolutional Neural Networks and CkMeans Clustering Algorithm
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HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
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Hyperspectral image classification based on spectral deformable convolution neural network
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Adaptive convolution kernel network for change detection in hyperspectral images
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Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks
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Spectral Classification of a Set of Hyperspectral Images using the Convolutional Neural Network, in a Single Training
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FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
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DMCCT: Dual-Branch Multi-Granularity Convolutional Cross-Substitution Transformer for Hyperspectral Image Classification
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Hyperspectral Imaging during Normothermic Machine Perfusion—A Functional Classification of Ex Vivo Kidneys Based on Convolutional Neural Networks
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Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
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Inline Quality Control through Optical Deep Learning-Based Porosity Determination for Powder Bed Fusion of Polymers
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When Low Rank Representation Based Hyperspectral Imagery Classification Meets Segmented Stacked Denoising Auto-Encoder Based Spatial-Spectral Feature
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Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection
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The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation
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Residual Group Channel and Space Attention Network for Hyperspectral Image Classification
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A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data
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An Efficient Spectral Feature Extraction Framework for Hyperspectral Images
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Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories
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Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification
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Random Shuffling Data for Hyperspectral Image Classification with Siamese and Knowledge Distillation Network
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The Classification of Hyperspectral Images: A Double-Branch Multi-Scale Residual Network
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MEA-EFFormer: Multiscale Efficient Attention with Enhanced Feature Transformer for Hyperspectral Image Classification
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MGCET: MLP-mixer and Graph Convolutional Enhanced Transformer for Hyperspectral Image Classification
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Hyperspectral Image Classification with Capsule Network Using Limited Training Samples
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Three-Dimensional ResNeXt Network Using Feature Fusion and Label Smoothing for Hyperspectral Image Classification
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A Novel Image Classification Method Based on Residual Network, Inception, and Proposed Activation Function
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Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images
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FUSE-Net: Multi-Scale CNN for NIR Band Prediction from RGB Using GNDVI-Guided Green Channel Enhancement
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A New Dataset and Deep Residual Spectral Spatial Network for Hyperspectral Image Classification
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A Novel Classification Framework for Hyperspectral Image Data by Improved Multilayer Perceptron Combined with Residual Network
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Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review
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Physical Knowledge Constrained Convolutional Network for Temperature Profile Retrieval from FY-4A/GIIRS Hyperspectral Data
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Review of Dimension Reduction Methods
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MULTISPECTRAL AIRBORNE LASER SCANNING POINT-CLOUDS FOR LAND COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
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