Results 21 to 30 of about 10,626 (257)
Bayesian Pan-Sharpening With Multiorder Gradient-Based Deep Network Constraints
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Pan-sharpening aims at acquiring a multispectral image with a high spatial resolution by fusing a low-resolution multispectral image and a panchromatic image.
Penghao Guo, Peixian Zhuang, Yecai Guo
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A Two-Stream Multiscale Deep Learning Architecture for Pan-Sharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Pan-sharpening, which fuses the high-resolution panchromatic (PAN) image and the low-resolution multispectral image (MSI), is a hot topic in remote sensing. Recently, deep learning technology has been successfully applied in pan-sharpening.
Jie Wei +5 more
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Remote Sensing, 2023 Achieving a balance between spectral resolution and spatial resolution in multi-spectral remote sensing images is challenging due to physical constraints. Consequently, pan-sharpening technology was developed to address this challenge.
Jing Wang +7 more
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Sharpening of drifting, blurred images
Vision Research, 1995 The perceived blur of moving images is less than expected given the sluggish temporal response of the visual system. This suggests that a motion deblurring mechanism may exist to preserve the positional acuity and sharpness of moving images. Furthermore, when sequences of blurred stills are presented, observers report that the moving image is in sharp ...
Bex, P.J., Edgar, G.K., Smith, A.T.
openaire +2 more sources
Tuning of Fuzzy Sharpening Filters for Biomedical Image Enhancement
Mendel, 2018 Various approaches are used for image smoothing and sharpening. The class of fuzzy filters is widely used in the case of spiky noise due to their non–linear behavior.
Jaromir Kukal +2 more
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A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network
IEEE Access, 2020 Pan-sharpening is a significant task that aims to generate high spectral- and spatial- resolution remote-sensing image by fusing multi-spectral (MS) and panchromatic (PAN) image.
Xin Li +6 more
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IEEE Access, 2020 Recent advances in deep learning have shown impressive performances for pan-sharpening. Pan-sharpening is the task of enhancing the spatial resolution of a multi-spectral (MS) image by exploiting the high-frequency information of its corresponding ...
Soomin Seo +6 more
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Color Correction and Local Contrast Enhancement for Underwater Image Enhancement
IEEE Access, 2022 Underwater images suffer from various quality degradation problems such as color cast, low contrast, and blurred details. To solve these issues, a novel underwater image enhancement method that can implement color correction, detail sharpening, and ...
Songlin Jin +4 more
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source