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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204026
Abstract: Under severe weather conditions, the quality of the images taken outside is directly affected by floating atmospheric particles. To keep the quality of the images, haze removal methods play a critical role. The most difficult…
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Keywords:
network single;
attention network;
multiscale attention;
enhanced multiscale ... See more keywords
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Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3106337
Abstract: Cloud detection plays a significant role in ground-based remote sensing observation, and it is quite challenging due to the variations in illumination and cloud form, and the vague boundaries between cloud and sky. In this…
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Keywords:
ground based;
multiscale attention;
detection;
cloud detection ... See more keywords
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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185641
Abstract: With the development of deep learning, remote sensing image (RSI) semantic segmentation has produced significant advances. The majority of existing methods use fully convolutional network (FCN) that lacks fine-grained multiscale representation and fails to extract…
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Keywords:
multiscale attention;
network;
remote sensing;
semantic segmentation ... See more keywords
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1
Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm13010089
Abstract: Eyelid tumors are tumors that occur in the eye and its appendages, affecting vision and appearance, causing blindness and disability, and some having a high lethality rate. Pathological images of eyelid tumors are characterized by…
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Keywords:
mac resnet;
resnet;
classification;
multiscale attention ... See more keywords