Enhancing Seismic P-Wave Arrival Picking by Target-Oriented Detection of the Local Windows Using Faster-RCNN
Sign Up to like & getrecommendations! 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… read more here.
Keywords: local window; faster rcnn; arrival picking; wave arrival ... See more keywords
Local Window Attention Transformer for Polarimetric SAR Image Classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: classification; local window; window attention; attention ... See more keywords
CAW: A Remote-Sensing Scene Classification Network Aided by Local Window Attention
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: network; scene classification; remote sensing; local window ... See more keywords