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Three dimensional Deep Learning approach for remote sensing image classification

arXiv 1806.05824 ↗First posted 15 Jun 2018cs.CV cs.LG stat.MLcited by 51

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Abstract (arXiv)

Recently, a variety of approaches has been enriching the field of Remote Sensing (RS) image processing and analysis. Unfortunately, existing methods remain limited faced to the rich spatio-spectral content of today's large datasets. It would seem intriguing to resort to Deep Learning (DL) based approaches at this stage with regards to their ability to offer accurate semantic interpretation of the data. However, the specificity introduced by the coexistence of spectral and spatial content in the RS datasets widens the scope of the challenges presented to adapt DL methods to these contexts. Therefore, the aim of this paper is firstly to explore the performance of DL architectures for the RS hyperspectral dataset classification and secondly to introduce a new three-dimensional DL approach that enables a joint spectral and spatial information process. A set of three-dimensional schemes is proposed and evaluated. Experimental results based on well knownhyperspectral datasets demonstrate that the proposed method is able to achieve a better classification rate than state of the art methods with lower computational costs.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Jun 2018.

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Citing papers per year: 2021: 7; 2022: 9; 2023: 8; 2024: 10; 2025: 9; 2026: 8.

51 papers.

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  1. 2022Multimodal Fusion Transformer for Remote Sensing Image Classificationcited by 64
  2. 2023Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Modelscited by 56
  3. 2021Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospectscited by 49
  4. 2024Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classificationcited by 18
  5. 2021Benchmarking and scaling of deep learning models for land cover image classificationcited by 14
  6. 2021A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classificationcited by 13
  7. 2024IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classificationcited by 11
  8. 2024GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classificationcited by 10
  9. 2024Dual Selective Fusion Transformer Network for Hyperspectral Image Classificationcited by 7
  10. 2022Wavelength-aware 2D Convolutions for Hyperspectral Imagingcited by 6
  11. 2025Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlookcited by 6
  12. 2022Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classificationcited by 5
38 more
  1. 2023Deep Diversity-Enhanced Feature Representation of Hyperspectral Imagescited by 5
  2. 2024Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classificationcited by 5
  3. 2022Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classificationcited by 4
  4. 2022Toward Efficient Hyperspectral Image Processing inside Camera Pixelscited by 4
  5. 2022Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenderscited by 4
  6. 20243D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classificationcited by 4
  7. 2021HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classificationcited by 3
  8. 2025Language-Depth Navigated Thermal and Visible Image Fusioncited by 3
  9. 2025Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarioscited by 3
  10. 2021Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNcited by 2
  11. 2021Triplet-Watershed for Hyperspectral Image Classificationcited by 2
  12. 2022Probabilistic Deep Metric Learning for Hyperspectral Image Classificationcited by 2
  13. 2023HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embeddingcited by 2
  14. 2024Supervised Embedded Methods for Hyperspectral Band Selectioncited by 2
  15. 2024Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagerycited by 2
  16. 2025Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignmentcited by 2
  17. 2022A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classificationcited by 1
  18. 2023Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classificationcited by 1
  19. 2023Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classificationcited by 1
  20. 2024Hybrid CNN Bi-LSTM neural network for Hyperspectral image classificationcited by 1
  21. 2025Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classificationcited by 1
  22. 2021TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classificationcited by 0
  23. 2022Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classificationcited by 0
  24. 2023MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classificationcited by 0
  25. 2023A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Datacited by 0
  26. 2023MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classificationcited by 0
  27. 2024Spectral Graph Reasoning Network for Hyperspectral Image Classificationcited by 0
  28. 2025Dynamic Memory Transformer for Hyperspectral Image Classificationcited by 0
  29. 2025Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformitycited by 0
  30. 2025CLAReSNet: When Convolution Meets Latent Attention for Hyperspectral Image Classificationcited by 0
  31. 2025Hyperspectral Image Classification using Spectral-Spatial Mixer Networkcited by 0
  32. 2026SDHSI-Net: Learning Better Representations for Hyperspectral Images via Self-Distillationcited by 0
  33. 2026HyDeMiC: A Deep Learning-based Mineral Classifier using Hyperspectral Datacited by 0
  34. 2026Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Datacited by 0
  35. 2026LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classificationcited by 0
  36. 2026ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classificationcited by 0
  37. 2026MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classificationcited by 0
  38. 2026MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classificationcited by 0

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