Deep Learning in Remote Sensing Image Fusion: Methods, protocols, data, and future perspectives

G Vivone, LJ Deng, S Deng, D Hong… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Image fusion can be conducted at different levels, with pixel-level image fusion involving the
direct combination of original information from source images. The objective of methods …

Model-informed Multi-stage Unsupervised Network for Hyperspectral Image Super-resolution

J Li, K Zheng, L Gao, L Ni, M Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
By fusing a low-resolution hyperspectral image (LrMSI) with an auxiliary high-resolution
multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a …

[HTML][HTML] An Implicit Transformer-based Fusion Method for Hyperspectral and Multispectral Remote Sensing Image

C Zhu, T Zhang, Q Wu, Y Li, Q Zhong - International Journal of Applied …, 2024 - Elsevier
There is an effective way to enhance the spatial resolution of hyperspectral remote sensing
images by fusing them with multispectral remote sensing images. However, most of the …

Hyperspectral and multispectral images fusion based on pyramid swin transformer

H Lang, W Bao, W Feng, K Qu, X Ma… - Infrared Physics & …, 2024 - Elsevier
Remote sensing image fusion aims to generate a high spatial resolution hyperspectral
image (HR-HSI) by integrating a low spatial resolution hyperspectral image (LR-HSI) and a …

Noise reduction in Hyperion high dynamic range hyperspectral data using machine learning and statistical techniques.

P Nair, DK Srivastava… - International Journal of …, 2024 - search.ebscohost.com
Numerous remote sensing applications rely heavily on hyperspectral imagery, but it is
frequently plagued by noise, which degrades the data quality and hinders subsequent …

Improved Qis-Gan Algorithm for Fusion of Hyperspectral and Multispectral Remote Sensing Images

Q Qiujiaxu - Available at SSRN 5015778 - papers.ssrn.com
As the remote sensing technology develops, the fusion of hyperspectral and multispectral
images has become increasingly important in improving image resolution and detail fidelity …