A review of spatial enhancement of hyperspectral remote sensing imaging techniques
N Aburaed, MQ Alkhatib, S Marshall… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Remote sensing technology has undeniable importance in various industrial applications,
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
Detail injection-based deep convolutional neural networks for pansharpening
The fusion of high spatial resolution panchromatic (PAN) data with simultaneously acquired
multispectral (MS) data with the lower spatial resolution is a hot topic, which is often called …
multispectral (MS) data with the lower spatial resolution is a hot topic, which is often called …
Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
In this paper, the development of pansharpening methods from traditional understanding to
the current understanding is comprehensively reviewed. Furthermore, the performance of …
the current understanding is comprehensively reviewed. Furthermore, the performance of …
[HTML][HTML] Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and …
Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the
spatial and spectral information of the source images into a fused one, which has a higher …
spatial and spectral information of the source images into a fused one, which has a higher …
Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images
The denoising diffusion model has received increasing attention in the field of image
generation in recent years, thanks to its powerful generation capability. However, diffusion …
generation in recent years, thanks to its powerful generation capability. However, diffusion …
PanCSC-Net: A model-driven deep unfolding method for pansharpening
Recently, deep learning (DL) approaches have been widely applied to the pansharpening
problem, which is defined as fusing a low-resolution multispectral (LRMS) image with a high …
problem, which is defined as fusing a low-resolution multispectral (LRMS) image with a high …
A triple-double convolutional neural network for panchromatic sharpening
TJ Zhang, LJ Deng, TZ Huang… - … on Neural Networks …, 2022 - ieeexplore.ieee.org
Pansharpening refers to the fusion of a panchromatic (PAN) image with a high spatial
resolution and a multispectral (MS) image with a low spatial resolution, aiming to obtain a …
resolution and a multispectral (MS) image with a low spatial resolution, aiming to obtain a …
The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior
In this paper, we propose a tensor-based non-convex sparse modeling approach for the
fusion of panchromatic and multispectral remote sensing images, and this kind of fusion is …
fusion of panchromatic and multispectral remote sensing images, and this kind of fusion is …
Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability
In the fields of image restoration and image fusion, model-and data-driven methods are the
two representative frameworks. However, both approaches have their respective …
two representative frameworks. However, both approaches have their respective …
Spatial–spectral fusion by combining deep learning and variational model
In the field of spatial–spectral fusion, the variational model-based methods and the deep
learning (DL)-based methods are state-of-the-art approaches. This paper presents a fusion …
learning (DL)-based methods are state-of-the-art approaches. This paper presents a fusion …