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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
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—0
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image ClassificationCode0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image ClassificationCode2
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification—0
Spectral-Spatial Mamba for Hyperspectral Image ClassificationCode1
S^2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image ClassificationCode2
Pyramid Hierarchical Transformer for Hyperspectral Image ClassificationCode1
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba ModelsCode1
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
SpectralMamba: Efficient Mamba for Hyperspectral Image Classification—0
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification—0
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image ClassificationCode0
Randomized Principal Component Analysis for Hyperspectral Image Classification—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification—0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image ClassificationCode1
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data—0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Locality-Aware Hyperspectral ClassificationCode1
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group ConvolutionCode0
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image ClassificationCode0
Multi-Scale U-Shape MLP for Hyperspectral Image Classification—0
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study—0
Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer—0
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification—0
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image ClassificationCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Multimodal Hyperspectral Image Classification via Interconnected Fusion—0
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive FilteringCode0
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification—0
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification—0
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification—0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
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