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AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples

https://doi.org/10.3390/rs14194910

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What this work says

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

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Multicategory Proximal Support Vector Machine Classifiers

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Analysis of spectral absorption features in hyperspectral imagery

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The Earth Mover's Distance as a Metric for Image Retrieval

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Remote sensing of the coastal zone: An overview and priorities for future research

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Hyperspectral image data analysis

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Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model

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FairGAN: Fairness-aware Generative Adversarial Networks

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Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks

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Use of hyperspectral imagery for mapping grape varieties in the Barossa Valley, South Australia

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Adaptive Neighborhood Strategy Based Generative Adversarial Network for Hyperspectral Image Classification

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Spatial-Spectral Combination Convolutional Neural Network for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/intee.2015.7416852openalex-snapshot

Classification of hyperspectral data using grey model

inferredcites →https://doi.org/10.1109/jstars.2010.2095495openalex-snapshot

High Performance Computing for Hyperspectral Remote Sensing

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HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification

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Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks

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A Saliency-Based Band Selection Approach for Hyperspectral Imagery Inspired by Scale Selection

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Hyperspectral Image Classification With Data Augmentation and Classifier Fusion

inferredcites →https://doi.org/10.1109/lgrs.2020.2989796openalex-snapshot

Hapke Data Augmentation for Deep Learning-Based Hyperspectral Data Analysis With Limited Samples

inferredcites →https://doi.org/10.1109/lgrs.2021.3107321openalex-snapshot

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

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Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples

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.2017.2762307openalex-snapshot

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

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New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

inferredcites →https://doi.org/10.1109/msp.2013.2278992openalex-snapshot

Hyperspectral Target Detection : An Overview of Current and Future Challenges

inferredcites →https://doi.org/10.1109/siu53274.2021.9477861openalex-snapshot

Comparison of Linear Discriminant Analysis, Support Vector Machines and Naive Bayes Methods in the Classification of Neonatal Hyperspectral Signatures

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.2018.2805286openalex-snapshot

Generative Adversarial Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/tgrs.2019.2907932openalex-snapshot

Deep Learning for Hyperspectral Image Classification: An Overview

inferredcites →https://doi.org/10.1109/tgrs.2021.3139099openalex-snapshot

Hyperspectral Imagery Classification Based on Contrastive Learning

inferredcites →https://doi.org/10.1109/tgrs.2022.3202908openalex-snapshot

Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images

inferredcites →https://doi.org/10.1109/tgrs.2022.3231215openalex-snapshot

Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

inferredcites →https://doi.org/10.1109/tnnls.2016.2572204openalex-snapshot

A Novel Locally Linear KNN Method With Applications to Visual Recognition

inferredcites →https://doi.org/10.1109/tnnls.2021.3112268openalex-snapshot

Spatial–Spectral Unified Adaptive Probability Graph Convolutional Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1109/whispers.2014.8077532openalex-snapshot

Hyperspectral classification using stacked autoencoders with deep learning

inferredcites →https://doi.org/10.1109/whispers.2016.8071664openalex-snapshot

Feature extraction using near-isometric linear embeddings for hyperspectral imagery classification

inferredcites →https://doi.org/10.1109/whispers.2016.8071787openalex-snapshot

Hyperspectral image classification based on PCA network

inferredcites →https://doi.org/10.1109/whispers.2019.8921284openalex-snapshot

Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification

inferredcites →https://doi.org/10.1117/12.506426openalex-snapshot

Hyperspectral imaging for astronomy and space surviellance

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

Deep Convolutional Neural Networks for Hyperspectral Image Classification

inferredcites →https://doi.org/10.3390/rs13122378openalex-snapshot

Oil Spill Detection with Multiscale Conditional Adversarial Networks with Small-Data Training

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

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

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Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation

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Multi-scale Diffusion Features Fusion Network For Hyperspectral Image Classification

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GAN-Enhanced Deep Learning for Secure and Robust Encrypted Video Traffic Analysis

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Dual-Branch Spectral–Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples

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Main–Sub Transformer With Spectral–Spatial Separable Convolution for Hyperspectral Image Classification

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Intelligent Hyperspectral Imaging with AC-WGAN-GP for Visual Navigation and Motion Control in GPS-Denied Environments

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3485483openalex-snapshot

SWDiff: Stage-Wise Hyperspectral Diffusion Model for Hyperspectral Image Classification

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Shadow-aware terrain classification: advancing hyperspectral image sensing through generative adversarial networks and correlated sample synthesis

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Data Augmented of Mechanical Fault Sound Signal based on Generative Adversarial Networks

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Two-Branch Convolutional Neural Network with Polarized Full Attention for Hyperspectral Image Classification

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Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels

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WGAN-GP for Synthetic Retinal Image Generation: Enhancing Sensor-Based Medical Imaging for Classification Models

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Intelligent System for Hyperspectral Image Classification Using Embedded-Label GANs⋆

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