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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3333322
Abstract: In recent years, fused infrared and visible-light computer vision methods based on fully convolutional networks (FCNs) have achieved remarkable results due to their complementary features. However, the growing requirements for computer vision tasks continually demand…
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Keywords:
fusion;
transmission line;
feature fusion;
line detection ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3492500
Abstract: The integrated use of multisource remote sensing (RS) data in Earth observation missions has garnered considerable attention. Hyperspectral images (HSIs) offer extensive spatial and spectral detail, whereas light detection and ranging (LiDAR) data provide elevation…
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Keywords:
attention;
remote sensing;
dual feature;
feature ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3522110
Abstract: Recent hyperspectral image (HSI) classification works have focused on developing a promising architecture by combining convolutional neural networks (CNNs) with Transformers. However, most of them fail to consider the interactive fusion of global and local…
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Keywords:
classification;
feature aggregation;
spectral features;
dual feature ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3353830
Abstract: Current models exhibit notable efficacy in image-captioning tasks. Mainstream research shows that combining dual visual features enhances visual representations and brings a performance boost. However, the incorporation of dual visual features complicates computation and expands…
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Keywords:
adaptive shared;
shared transformer;
image captioning;
dual feature ... See more keywords