mlsanityData to 13 Oct 2026

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

arXiv 1706.05249 ↗First posted 16 Jun 2017cs.CV stat.MLcited by 14

Not on the map. Why?

Abstract (arXiv)

In this paper, we propose a method using a three dimensional convolutional neural network (3-D-CNN) to fuse together multispectral (MS) and hyperspectral (HS) images to obtain a high resolution hyperspectral image. Dimensionality reduction of the hyperspectral image is performed prior to fusion in order to significantly reduce the computational time and make the method more robust to noise. Experiments are performed on a data set simulated using a real hyperspectral image. The results obtained show that the proposed approach is very promising when compared to conventional methods. This is especially true when the hyperspectral image is corrupted by additive noise.

Key facts. Cited by 14 papers in the map (data through 13 Oct 2026). First posted on arXiv 16 Jun 2017.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 1; 2025: 4.

14 papers.

Sort:

By area:

  1. 2022Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Reviewcited by 73
  2. 2022HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpeningcited by 32
  3. 2023ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutioncited by 23
  4. 2021A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolutioncited by 14
  5. 2021Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolutioncited by 10
  6. 2023Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusioncited by 9
  7. 2022Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversioncited by 3
  8. 2025Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusioncited by 3
  9. 2021Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimizationcited by 2
  10. 2024CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusioncited by 1
  11. 2025HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusioncited by 1
  12. 2021Spatiotemporal Fusion in Remote Sensingcited by 0
2 more
  1. 2025Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusioncited by 0
  2. 2025Hyperspectral Super-Resolution with Inter-Image Variability via Degradation-based Low-Rank and Residual Fusion Methodcited by 0