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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013262
Abstract: The accuracy of P-wave arrival picking is essential for seismic analysis. The improvement in the accuracy of P-wave arrival picking is generally achieved through improved algorithms and the processing of waveforms. Therefore, we propose a…
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Keywords:
local window;
faster rcnn;
arrival picking;
wave arrival ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3239263
Abstract: Convolutional neural networks (CNNs) have recently found great attention in image classification since deep CNNs have exhibited excellent performance in computer vision. Owing to their immense success, of late, scientists are exploring the functionality of…
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Keywords:
classification;
local window;
window attention;
attention ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2661231
Abstract: Remote-sensing image scene data contain a large number of scene images with different scales. Traditional scene classification algorithms based on convolutional neural networks are difficult to extract complex spatial distribution and texture information in images,…
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Keywords:
network;
scene classification;
remote sensing;
local window ... See more keywords