Hyperspectral Image Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

13 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 132 papers with code (286 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Pyramid Hierarchical Transformer for Hyperspectral Image Classification
  23 Apr 2024 3 repositories listed
  The traditional Transformer model encounters challenges with variable-length input sequences, particularly in Hyperspectral Image Classification (HSIC), leading to efficiency and scalability concerns.
• Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
  2 Aug 2024 2 repositories listed
  To address these challenges, we propose the morphological spatial mamba (SMM) and morphological spatial-spectral Mamba (SSMM) model (MorpMamba), which combines the strengths of morphological operations and the state…
• DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification
  19 Apr 2023 2 repositories listed
  Hyperspectral image (HSI) classification is challenging due to spatial variability caused by complex imaging conditions.
• SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
  7 Jul 2021 2 repositories listed
  Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepancies.
• Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
  26 Jun 2021 2 repositories listed
  To tackle these problems, in this paper, different from previous approaches, we perform the superpixel generation on intermediate features during network training to adaptively produce homogeneous regions, obtain graph…
• SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
  1 Apr 2021 2 repositories listed
  In this article, we propose SpectralNET, a wavelet CNN, which is a variation of 2D CNN for multi-resolution HSI classification.
• Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
  25 Jan 2021 2 repositories listed
  Convolutional Neural Networks (CNN) has been extensively studied for Hyperspectral Image Classification (HSIC) more specifically, 2D and 3D CNN models have proved highly efficient in exploiting the spatial and spectral…
• Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
  15 Jan 2021 2 repositories listed
  Therefore, this survey discusses some strategies to improve the generalization performance of DL strategies which can provide some future guidelines.
• Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images
  17 Jun 2019 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Recent developments in machine learning and signal processing have resulted in many new techniques that are able to effectively capture the intrinsic yet complex properties of hyperspectral imagery.
• Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image Classification
  11 May 2019 2 repositories listed
  Deep learning models have achieved promising results on hyperspectral image classification, but their performance highly rely on sufficient labeled samples, which are scarce on hyperspectral images.
• BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image
  17 Apr 2019 2 repositories listed
  The framework consists of a band attention module (BAM), which aims to explicitly model the nonlinear inter-dependencies between spectral bands, and a reconstruction network (RecNet), which is used to restore the…
• HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image
  28 Feb 2018 2 repositories listed
  In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral image data, called HSI-CNN.
• Going Deeper with Contextual CNN for Hyperspectral Image Classification
  12 Apr 2016 2 repositories listed
  The initial spatial and spectral feature maps obtained from the multi-scale filter bank are then combined together to form a joint spatio-spectral feature map.
• MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
  6 Jul 2025 1 repository listed
  Hyperspectral image (HSI) classification faces challenges such as high-dimensional data, limited training samples, and spectral redundancy, which often lead to overfitting and insufficient generalization capability.
• Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
  10 Jun 2025 1 repository listed
  Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy, which often lead to classification…
• Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
  18 May 2025 1 repository listed
  Specifically, we first leverage heterogeneous datasets to pretrain a spatial feature extractor using a designed Rotation-Mirror Self-Supervised Learning (RM-SSL) method, combined with FSL.
• Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification
  21 Apr 2025 1 repository listed
  Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy, which often lead to classification…
• Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
  17 Apr 2025 1 repository listed
  Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy, which often lead to classification…
• 3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification
  15 Apr 2025 1 repository listed
  Deep neural networks face numerous challenges in hyperspectral image classification, including high-dimensional data, sparse ground object distributions, and spectral redundancy, which often lead to classification…
• Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
  6 Apr 2025 1 repository listed
  Deep neural networks face several challenges in hyperspectral image classification, including complex and sparse ground object distributions, small clustered structures, and elongated multi-branch features that often…
• Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification
  30 Mar 2025 1 repository listed
  To enhance feature extraction efficiency while skipping redundant information, this paper proposes a dynamic attention convolution design based on an improved 3D-DenseNet model.
• Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
  19 Mar 2025 1 repository listed
  Most existing graph-based semi-supervised hyperspectral image classification methods rely on superpixel partitioning techniques.
• M³amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification
  9 Mar 2025 1 repository listed
  Multi-modal fusion holds great promise for integrating information from different modalities.
• MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
  22 Feb 2025 1 repository listed
  This paper introduces a novel multiscale object-based graph neural network called MOB-GCN for hyperspectral image (HSI) classification.
• When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
  18 Feb 2025 1 repository listed
  However, their application remains under-explored in this task due to (1) the prevailing notion that larger patch sizes degrade performance, (2) the extensive unlabeled regions in HSI groundtruth, and (3) the…
• A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification
  14 Feb 2025 1 repository listed
  Moreover, a cascade transformer encoder is employed for global spectral feature extraction, and a simple yet efficient cross-layer feature fusion (CFF) module is designed to reduce the loss of crucial information in the…
• SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
  27 Jan 2025 1 repository listed
  Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI into a specific land cover class, which is crucial for applications like remote sensing, environmental monitoring, and agriculture.
• Correlation-Based Band Selection for Hyperspectral Image Classification
  24 Jan 2025 1 repository listed
  In this work, we present a correlation-based band selection approach for hyperspectral image classification.
• MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
  9 Jan 2025 1 repository listed
  To remedy these drawbacks, we propose a novel HSI classification model based on a Mamba model, named MambaHSI, which can simultaneously model long-range interaction of the whole image and integrate spatial and spectral…
• DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification
  23 Dec 2024 1 repository listed
  Hyperspectral image classification (HSIC) has gained significant attention because of its potential in analyzing high-dimensional data with rich spectral and spatial information.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.