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   Articles with "pan sharpening" as a keyword



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Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution

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recommendations! Published in 2021 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-020-01836-8

Abstract: Because it contains high spectral information, hyperspectral imagery has been used in many areas. However, hyperspectral imagery has low spatial resolution because of imaging hardware limitation. Recently, many methods have been available for improving spatial… read more here.

Keywords: resolution; pan sharpening; sparse representation; dictionary learning ... See more keywords

Sparsity inspired pan-sharpening technique using multi-scale learned dictionary

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recommendations! Published in 2018 at "ISPRS Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2018.10.009

Abstract: Abstract The significant issues in remote sensing image fusion are enhancing the spatial details and preserving the essential spectral information. The classical pan-sharpening methods often incur spectral distortion and still striving to produce the fused… read more here.

Keywords: scale learned; pan sharpening; proposed method; multi scale ... See more keywords
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IHS-based pan-sharpening technique for visual quality improvement using KPCA and enhanced SML in the NSCT domain

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recommendations! Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1811913

Abstract: ABSTRACT Due to the different characteristics of satellite imagery, pan-sharpening has become an important field of remote sensing science. It is a reliable method to fuse the high-resolution panchromatic (Pan) image with the low-resolution multispectral… read more here.

Keywords: quality; image; pan sharpening; sharpening technique ... See more keywords

Transformer-based adaptive 3D residual CNN with sparse representation for PAN-sharpening of multispectral images

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2424508

Abstract: ABSTRACT Panchromatic (PAN)-sharpening is an important process for most of the practical appliances in the domain of geospatial analysis. Because of the balance among instantaneous field of view and Signal-to-Noise Ratio (SNR), the Multi-Spectral (MS)… read more here.

Keywords: adaptive residual; pan sharpening; pan; transformer based ... See more keywords

Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening

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recommendations! Published in 2021 at "International Journal of Image and Data Fusion"

DOI: 10.1080/19479832.2021.1921059

Abstract: ABSTRACT This paper focuses on spatial quality assessment of pan-sharpened imagery that contains valuable information of input images. Its aim is to show that fusion functions respond differently to different types of landscapes. It compares… read more here.

Keywords: spatial quality; image; pan; pan sharpening ... See more keywords

Transformer-Based Dual-Branch Multiscale Fusion Network for Pan-Sharpening Remote Sensing Images

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3332459

Abstract: Due to the limitations of satellite sensors, we can only obtain MS images and PAN images separately. The focus of our attention is to utilize the pan-sharpening method to generate the high-resolution multispectral (HRMS) images.… read more here.

Keywords: branch multiscale; pan sharpening; fusion; dual branch ... See more keywords

DCCPNet: A Dual-Branch Channel Cross-Concatenation Pan-Sharpening Network for Satellite Remote Sensing Imagery

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3574743

Abstract: Pan-sharpening performance has been significantly improved by deep learning, yet current networks are limited by single-branch architectures or noninteractive dual-branch designs. To surmount these limitations, a dual-branch channel cross-concatenation (DCC) pan-sharpening network, i.e., DCCPNet, is… read more here.

Keywords: branch; pan sharpening; branch channel; dual branch ... See more keywords

S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks

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recommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2934493

Abstract: Recently, many deep-learning-based pan-sharpening methods have been proposed for generating high-quality pan-sharpened (PS) satellite images. These methods focused on various types of convolutional neural network (CNN) structures, which were trained by simply minimizing a spectral… read more here.

Keywords: spatial structure; loss; pan; pan sharpening ... See more keywords

PMACNet: Parallel Multiscale Attention Constraint Network for Pan-Sharpening

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3170904

Abstract: Pan-sharpening, a task involving information fusion, entails merging panchromatic (PAN) images with high spatial resolution and low-resolution multispectral (LRMS) images in order to obtain high-resolution multispectral (HRMS) images. Due to deep learning’s excellent regression capabilities,… read more here.

Keywords: pan; network; pan sharpening; attention constraint ... See more keywords

Pan-Sharpening Based on Transformer With Redundancy Reduction

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3186985

Abstract: Pan-sharpening methods based on deep neural network (DNN) have produced the state-of-the-art results. However, the common information in the panchromatic (PAN) image and the low spatial resolution multispectral (LRMS) image is not sufficiently explored. As… read more here.

Keywords: redundancy; information; pan sharpening; pan ... See more keywords

Pan-Sharpening via Deep Locally Linear Embedding Residual Network

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3168593

Abstract: The goal of pan-sharpening tasks is to fuse panchromatic (PAN) images and low spatial-resolution (LR) multi-spectral (MS) images for the purpose of aggregating texture and spectral information. Although traditional embedding-based pan-sharpening methods achieve competitive results,… read more here.

Keywords: network; linear embedding; embedding residual; pan ... See more keywords