Articles with "optimization driven" as a keyword



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A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening

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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
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Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution

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Published in 2021 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2021.3056181

Abstract: Hyperspectral images (HSIs) are crucial for many research works. Spectral super-resolution (SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral images. Traditional SSR methods include model-driven algorithms and deep learning. By… read more here.

Keywords: resolution; super resolution; optimization driven; spectral response ... See more keywords