Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
IHS-based pan-sharpening technique for visual quality improvement using KPCA and enhanced SML in the NSCT domain
Sign Up to like & getrecommendations! 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
Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening
Sign Up to like & getrecommendations! 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
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3186916
Abstract: Multispectral (MS) images play a crucial role in environmental monitoring or ecological analysis for their large scope, quick acquisition, and big data. With the rapid development of technology and increasing demand, very high-resolution MS images… read more here.
Keywords: pan sharpening; resnet; optimization driven; knowledge optimization ... See more keywords
Pan-Sharpening Framework Based on Multiscale Entropy Level Matching and Its Application
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3198097
Abstract: Current remote sensing hardware technology is not yet able to acquire multiband remote sensing images with both high spatial and spectral resolution. As an important tool to compensate for the lack of spatial information acquisition… read more here.
Keywords: application; remote sensing; pan sharpening; framework ... See more keywords
Effective Pan-Sharpening by Multiscale Invertible Neural Network and Heterogeneous Task Distilling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3199210
Abstract: As recognized, the ground-truth multispectral (MS) images possess the complementary information (e.g., high-frequency components) of low-resolution (LR) MS images, which can be considered as privileged information to alleviate the spectral distortion and insufficient spatial texture… read more here.
Keywords: network; pan; ground truth; pan sharpening ... See more keywords