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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3332867
Abstract: Conventional sparse representation methods cannot effectively characterize the nonlinear effects caused by nonideal space-time factors of multiple-input–multiple-output (MIMO) radar system and scenes with complex nonuniform clutter. In addition, a single dictionary is employed for both…
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Keywords:
deep learning;
target clutter;
mimo radar;
learning based ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3096536
Abstract: Anomalies in remote sensing images are generally reflected in two aspects of spatial and spectral ones, as for the anomaly detection of sea surface using multispectral or hyperspectral images, spectral information is more important. To…
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Keywords:
based dictionary;
detection;
spectral anomaly;
anomaly detection ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3264660
Abstract: Seismic wave acquisition is usually disturbed by natural noise and instrument noise. As the seismic wave propagates, the filtering effect of the Earth and its various layers will result in energy attenuation and velocity dispersion;…
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Keywords:
data resolution;
based dictionary;
enhancement seismic;
dictionary learning ... See more keywords
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Published in 2020 at "Optics express"
DOI: 10.1364/oe.403317
Abstract: The idea of combining a flexible fiber bundle with the microscopic imaging system provides the possibility of the cross-scale detection of defects and textures on large-scale complex components. However, the pixelization artifacts caused by the…
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Keywords:
resolution;
microscopic imaging;
dictionary learning;
based dictionary ... See more keywords