mlsanityData to 7 Oct 2026

Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review

arXiv 2304.13880 ↗First posted 26 Apr 2023cs.CV eess.IVcited by 12

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Abstract (arXiv)

In the recent years, hyperspectral imaging (HSI) has gained considerably popularity among computer vision researchers for its potential in solving remote sensing problems, especially in agriculture field. However, HSI classification is a complex task due to the high redundancy of spectral bands, limited training samples, and non-linear relationship between spatial position and spectral bands. Fortunately, deep learning techniques have shown promising results in HSI analysis. This literature review explores recent applications of deep learning approaches such as Autoencoders, Convolutional Neural Networks (1D, 2D, and 3D), Recurrent Neural Networks, Deep Belief Networks, and Generative Adversarial Networks in agriculture. The performance of these approaches has been evaluated and discussed on well-known land cover datasets including Indian Pines, Salinas Valley, and Pavia University.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 16 of its 229 references that are in the map. First posted on arXiv 26 Apr 2023.

Builds on

16 of 229 references.

References · 16

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  4. 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,341
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  6. 2022Multimodal Fusion Transformer for Remote Sensing Image Classificationcited by 61
  7. 2018Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Networkcited by 51
  8. 2017Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learningcited by 37
  9. 2021A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolutioncited by 14
  10. 2020Hyperspectral Anomaly Change Detection Based on Auto-encodercited by 11
  11. 2015Spectral-Spatial Classification of Hyperspectral Image Using Autoencoderscited by 9
  12. 2017Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classificationcited by 8
4 more
  1. 2020Identifying Wrongly Predicted Samples: A Method for Active Learningcited by 8
  2. 2019FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Imagescited by 7
  3. 2021Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representationscited by 7
  4. 2023D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentationcited by 2

Built on by

Cited by year

Citing papers per year: 2024: 7; 2025: 5.

12 papers.

  1. 2024A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Modelscited by 19
  2. 2024Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classificationcited by 18
  3. 2025Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Modelscited by 5
  4. 2024Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classificationcited by 3
  5. 2025HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Modelscited by 3
  6. 2025Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imagingcited by 2
  7. 2025AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolutioncited by 1
  8. 2024Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approachcited by 0
  9. 2024Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecturecited by 0
  10. 2024Multispectral Texture Synthesis using RGB Convolutional Neural Networkscited by 0
  11. 2024A Data-Driven Review of Remote Sensing-Based Data Fusion in Precision Agriculture from Foundational to Transformer-Based Techniquescited by 0
  12. 2025SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Visioncited by 0