Deep learning for downscaling remote sensing images: Fusion and super-resolution
The past few years have seen an accelerating integration of deep learning (DL) techniques
into various remote sensing (RS) applications, highlighting their power to adapt and …
into various remote sensing (RS) applications, highlighting their power to adapt and …
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 …
A self-supervised remote sensing image fusion framework with dual-stage self-learning and spectral super-resolution injection
Pan-sharpening is a very productive technique to enhance the spatial details of multispectral
images with the aid of panchromatic images. Nowadays, deep learning-based pan …
images with the aid of panchromatic images. Nowadays, deep learning-based pan …
Hyperspectral Pansharpening: Critical review, tools, and future perspectives
Hyperspectral (HS) pansharpening consists of fusing a high-resolution panchromatic (PAN)
band and a low-resolution HS image to obtain a new image with high resolution in both the …
band and a low-resolution HS image to obtain a new image with high resolution in both the …
CADUI: Cross-attention-based depth unfolding iteration network for pansharpening remote sensing images
Z Li, J Li, F Zhang, L Fan - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Pansharpening is an important technology for remote sensing imaging systems to obtain
high-resolution multispectral (HRMS) images. It mainly obtains HRMS images with uniform …
high-resolution multispectral (HRMS) images. It mainly obtains HRMS images with uniform …
Zero-shot semi-supervised learning for pansharpening
Pansharpening refers to fusing a low-resolution multispectral image (LRMS) and a high-
resolution panchromatic (PAN) image to generate a high-resolution multispectral image …
resolution panchromatic (PAN) image to generate a high-resolution multispectral image …
Unsupervised deep learning-based pansharpening with jointly-enhanced spectral and spatial fidelity
In latest years, deep learning (DL) has gained a leading role in the pansharpening of
multiresolution images. Given the lack of ground truth data, most DL-based methods carry …
multiresolution images. Given the lack of ground truth data, most DL-based methods carry …
Cross-Modality Interaction Network for Pan-sharpening
Pan-sharpening seeks to generate a high-resolution multispectral (HRMS) image by
merging the high-resolution panchromatic (PAN) image and its low-resolution multispectral …
merging the high-resolution panchromatic (PAN) image and its low-resolution multispectral …
A continual learning-guided training framework for pansharpening
Supervised learning-based methods for pansharpening were criticized since their
appearance because they rely on scale-shift assumption, ie those methods usually perform …
appearance because they rely on scale-shift assumption, ie those methods usually perform …
Dynamic hyperspectral pansharpening CNNs
Hyperspectral (HS) pansharpening seeks to integrate low spatial resolution HS (LRHS)
images with connected panchromatic (PAN) images to produce high spatial resolution HS …
images with connected panchromatic (PAN) images to produce high spatial resolution HS …