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Hyperspectral Image Classification

Hyperspectral Image Classification is a task in the field of remote sensing and computer vision. It involves the classification of pixels in hyperspectral images into different classes based on their spectral signature. Hyperspectral images contain information about the reflectance of objects in hundreds of narrow, contiguous wavelength bands, making them useful for a wide range of applications, including mineral mapping, vegetation analysis, and urban land-use mapping. The goal of this task is to accurately identify and classify different types of objects in the image, such as soil, vegetation, water, and buildings, based on their spectral properties.

( Image credit: Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification )

Papers

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Showing 51–100 of 286 papers

TitleStatusHype
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image ClassificationCode1
Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image ClassificationCode1
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image ClassificationCode1
Spectral-Spatial Mamba for Hyperspectral Image ClassificationCode1
Pyramid Hierarchical Transformer for Hyperspectral Image ClassificationCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image ClassificationCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Semi-Supervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation FrameworkCode1
Dual-Branch Subpixel-Guided Network for Hyperspectral Image ClassificationCode1
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image ClassificationCode1
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networksCode1
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)Code1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image ClassificationCode0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Optimizing CNN-based Hyperspectral ImageClassification on FPGAsCode0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
PCA-domain Fused Singular Spectral Analysis for fast and Noise-Robust Spectral-Spatial Feature Mining in Hyperspectral ClassificationCode0
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral imagesCode0
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image ClassificationCode0
Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image ClassificationCode0
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total VariationCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral ImageCode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image ClassificationCode0
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image ClassificationCode0
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image ClassificationCode0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image ClassificationCode0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
Hyperspectral image classification via a random patches networkCode0
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image ClassificationCode0
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature ExtractionCode0
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