Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
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Abstract (arXiv)
In this research, we propose the first approach for integrating the Kolmogorov-Arnold Network (KAN) with various pre-trained Convolutional Neural Network (CNN) models for remote sensing (RS) scene classification tasks using the EuroSAT dataset. Our novel methodology, named KCN, aims to replace traditional Multi-Layer Perceptrons (MLPs) with KAN to enhance classification performance. We employed multiple CNN-based models, including VGG16, MobileNetV2, EfficientNet, ConvNeXt, ResNet101, and Vision Transformer (ViT), and evaluated their performance when paired with KAN. Our experiments demonstrated that KAN achieved high accuracy with fewer training epochs and parameters. Specifically, ConvNeXt paired with KAN showed the best performance, achieving 94% accuracy in the first epoch, which increased to 96% and remained consistent across subsequent epochs. The results indicated that KAN and MLP both achieved similar accuracy, with KAN performing slightly better in later epochs. By utilizing the EuroSAT dataset, we provided a robust testbed to investigate whether KAN is suitable for remote sensing classification tasks. Given that KAN is a novel algorithm, there is substantial capacity for further development and optimization, suggesting that KCN offers a promising alternative for efficient image analysis in the RS field.
Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). Builds on 18 of its 37 references that are in the map. First posted on arXiv 2 Jun 2024.
Builds on
18 of 37 references.
References · 18
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
- 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
- 2022A ConvNet for the 2020scited by 3,545
- 2017EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classificationcited by 1,488
- 2022FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operatorscited by 748
- 2024KAN: Kolmogorov-Arnold Networkscited by 634
- 2021Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networkscited by 521
- 2023ClimaX: A foundation model for weather and climatecited by 325
- 2022GraphCast: Learning skillful medium-range global weather forecastingcited by 261
- 2024Wav-KAN: Wavelet Kolmogorov-Arnold Networkscited by 118
- 2021Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Trainingcited by 107
6 more
- 2023Scaling transformer neural networks for skillful and reliable medium-range weather forecastingcited by 106
- 2024Kolmogorov-Arnold Networks (KANs) for Time Series Analysiscited by 97
- 2024DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problemscited by 82
- 2020Methods for Pruning Deep Neural Networkscited by 49
- 2023Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matterscited by 27
- 2024KARINA: An Efficient Deep Learning Model for Global Weather Forecastcited by 9
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Citing papers per year: 2024: 27; 2025: 12; 2026: 7.
46 papers.
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- 2024KAN 2.0: Kolmogorov-Arnold Networks Meet Sciencecited by 116
- 2024A Survey on Kolmogorov-Arnold Networkcited by 67
- 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionscited by 60
- 2024Kolmogorov-Arnold Transformercited by 56
- 2024KAGNNs: Kolmogorov-Arnold Networks meet Graph Learningcited by 48
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 39
- 2024Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networkscited by 37
- 2024KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Searchcited by 36
- 2024On the expressiveness and spectral bias of KANscited by 36
- 2024Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problemscited by 35
- 2024rKAN: Rational Kolmogorov-Arnold Networkscited by 31
- 2024Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementationcited by 22
34 more
- 2024CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysiscited by 22
- 2024PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Setscited by 15
- 2024Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networkscited by 11
- 2024COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANscited by 9
- 2024Multifidelity Kolmogorov-Arnold Networkscited by 9
- 2024KAN versus MLP on Irregular or Noisy Functionscited by 7
- 2024The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translationcited by 7
- 2025Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumerscited by 7
- 2024Architectural Scaling Surpass Basis Complexity? Efficient KANs with Single-Parameter Designcited by 6
- 2024HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smartercited by 5
- 2024FourierKAN outperforms MLP on Text Classification Head Fine-tuningcited by 5
- 2024SpectralKAN: Weighted Activation Distribution Kolmogorov-Arnold Network for Hyperspectral Image Change Detectioncited by 4
- 2024KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics examplecited by 4
- 2024Incorporating Arbitrary Matrix Group Equivariance into KANscited by 4
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometriescited by 3
- 2026Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learningcited by 3
- 2024KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Predictioncited by 2
- 2024KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learningcited by 2
- 2025X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learningcited by 2
- 2025Fully analogue in-memory neural computing via quantum tunneling effectcited by 2
- 2025SFFR: Spatial-Frequency Feature Reconstruction for Multispectral Aerial Object Detectioncited by 2
- 2026SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networkscited by 2
- 2025Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentationcited by 1
- 2025Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classificationcited by 1
- 2025MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classificationcited by 1
- 2025Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressivenesscited by 1
- 2025PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structurecited by 1
- 2025KAN KAN Buff Signed Graph Neural Networks?cited by 0
- 2025Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbationcited by 0
- 2026Demystifying KAN for Vision Tasks: The RepKAN Approachcited by 0
- 2026KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networkscited by 0
- 2026Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANscited by 0
- 2026Kolmogorov-Arnold Networks for Spatially Independent Multispectral Land Classificationcited by 0
- 2026LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restorationcited by 0
- 2026LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration13 Sep 2026
- 2026Kolmogorov-Arnold Networks for Spatially Independent Multispectral Land Classification13 Aug 2026
- 2026Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs23 Jun 2026
- 2026KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks12 May 2026
- 2026Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning25 Mar 2026
- 2026SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks19 Mar 2026
- 2026Demystifying KAN for Vision Tasks: The RepKAN Approach6 Mar 2026
- 2025SFFR: Spatial-Frequency Feature Reconstruction for Multispectral Aerial Object Detection9 Nov 2025
- 2025Fully analogue in-memory neural computing via quantum tunneling effect24 Oct 2025
- 2025PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structure9 Oct 2025
- 2025Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation8 Aug 2025
- 2025Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness7 Jul 2025
34 more
- 2025MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification24 Jun 2025
- 2025X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning20 May 2025
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries8 Apr 2025
- 2025Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification27 Jan 2025
- 2025Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation13 Jan 2025
- 2025Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers12 Jan 2025
- 2025KAN KAN Buff Signed Graph Neural Networks?1 Jan 2025
- 2024KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning31 Dec 2024
- 2024A Survey on Kolmogorov-Arnold Network9 Nov 2024
- 2024Architectural Scaling Surpass Basis Complexity? Efficient KANs with Single-Parameter Design19 Oct 2024
- 2024Multifidelity Kolmogorov-Arnold Networks18 Oct 2024
- 2024KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction15 Oct 2024
- 2024PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets14 Oct 2024
- 2024Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks10 Oct 2024
- 2024On the expressiveness and spectral bias of KANs2 Oct 2024
- 2024Incorporating Arbitrary Matrix Group Equivariance into KANs1 Oct 2024
- 2024Kolmogorov-Arnold Transformer16 Sep 2024
- 2024CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis6 Sep 2024
- 2024KAN 2.0: Kolmogorov-Arnold Networks Meet Science19 Aug 2024
- 2024FourierKAN outperforms MLP on Text Classification Head Fine-tuning16 Aug 2024
- 2024The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation15 Aug 2024
- 2024KAN versus MLP on Irregular or Noisy Functions15 Aug 2024
- 2024KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example5 Aug 2024
- 2024Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation25 Jul 2024
- 2024COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs24 Jul 2024
- 2024Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks24 Jul 2024
- 2024HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter7 Jul 2024
- 2024SpectralKAN: Weighted Activation Distribution Kolmogorov-Arnold Network for Hyperspectral Image Change Detection1 Jul 2024
- 2024Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems28 Jun 2024
- 2024KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning26 Jun 2024
- 2024KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search25 Jun 2024
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks21 Jun 2024
- 2024rKAN: Rational Kolmogorov-Arnold Networks20 Jun 2024
- 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions11 Jun 2024
- 2024KAN 2.0: Kolmogorov-Arnold Networks Meet Sciencecited by 116
- 2024A Survey on Kolmogorov-Arnold Networkcited by 67
- 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionscited by 60
- 2024Kolmogorov-Arnold Transformercited by 56
- 2024KAGNNs: Kolmogorov-Arnold Networks meet Graph Learningcited by 48
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 39
- 2024Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networkscited by 37
- 2024KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Searchcited by 36
- 2024On the expressiveness and spectral bias of KANscited by 36
- 2024Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problemscited by 35
- 2024rKAN: Rational Kolmogorov-Arnold Networkscited by 31
- 2024Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementationcited by 22
12 most cited of 45 All 45 (JSON)
- 2026LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration13 Sep 2026
- 2026Kolmogorov-Arnold Networks for Spatially Independent Multispectral Land Classification13 Aug 2026
- 2026Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs23 Jun 2026
- 2026KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks12 May 2026
- 2026Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning25 Mar 2026
- 2026SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks19 Mar 2026
- 2026Demystifying KAN for Vision Tasks: The RepKAN Approach6 Mar 2026
- 2025SFFR: Spatial-Frequency Feature Reconstruction for Multispectral Aerial Object Detection9 Nov 2025
- 2025Fully analogue in-memory neural computing via quantum tunneling effect24 Oct 2025
- 2025PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structure9 Oct 2025
- 2025Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation8 Aug 2025
- 2025Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness7 Jul 2025
12 newest of 45 All 45 (JSON)