A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods
Pansharpening refers to the fusion of a multispectral (MS) image and panchromatic (PAN)
data aimed at generating an outcome with the same spatial resolution of the PAN data and …
data aimed at generating an outcome with the same spatial resolution of the PAN data and …
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery
Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic
images. Selecting an appropriate algorithm that maintains the spectral and spatial …
images. Selecting an appropriate algorithm that maintains the spectral and spatial …
Multispectral and hyperspectral image fusion in remote sensing: A survey
G Vivone - Information Fusion, 2023 - Elsevier
The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …
spotlight. The combination of high spatial resolution MS images with HS data showing a …
Machine learning in pansharpening: A benchmark, from shallow to deep networks
Machine learning (ML) is influencing the literature in several research fields, often through
state-of-the-art approaches. In the past several years, ML has been explored for …
state-of-the-art approaches. In the past several years, ML has been explored for …
LRTCFPan: Low-rank tensor completion based framework for pansharpening
Pansharpening refers to the fusion of a low spatial-resolution multispectral image with a high
spatial-resolution panchromatic image. In this paper, we propose a novel low-rank tensor …
spatial-resolution panchromatic image. In this paper, we propose a novel low-rank tensor …
Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling
As recognized, the ground-truth multispectral (MS) images possess the complementary
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
Target-adaptive CNN-based pansharpening
We recently proposed a convolutional neural network (CNN) for remote sensing image
pansharpening obtaining a significant performance gain over the state of the art. In this …
pansharpening obtaining a significant performance gain over the state of the art. In this …
Review of pixel-level remote sensing image fusion based on deep learning
Z Wang, Y Ma, Y Zhang - Information Fusion, 2023 - Elsevier
The booming development of remote sensing images in many visual tasks has led to an
increasing demand for obtaining images with more precise details. However, it is impractical …
increasing demand for obtaining images with more precise details. However, it is impractical …
Robust band-dependent spatial-detail approaches for panchromatic sharpening
G Vivone - IEEE transactions on Geoscience and Remote …, 2019 - ieeexplore.ieee.org
Pansharpening refers to the fusion of a multispectral (MS) image with a finer spectral
resolution but coarser spatial resolution than a panchromatic (PAN) image. The classical …
resolution but coarser spatial resolution than a panchromatic (PAN) image. The classical …
A benchmarking protocol for pansharpening: Dataset, preprocessing, and quality assessment
Comparative evaluation is a requirement for reproducible science and objective assessment
of new algorithms. Reproducible research in the field of pansharpening of very high …
of new algorithms. Reproducible research in the field of pansharpening of very high …