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CFCANet: A Complete Frequency Channel Attention Network for SAR Image Scene Classification
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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To address this problem, we design a new complete frequency channel attention network (CFCANet) that can handle noisy RS images directly without any filtering operation. ...
Moreover, we build a new SAR scene classification dataset: WHU-SAR6. ...
Considering the two factors above, we propose a new attention network with good anti-noise performance: the complete frequency channel attention network (CFCANet) for noisy remote sensing scene image classification ...
doi:10.1109/jstars.2021.3125107
fatcat:kaxwhqsmzne2bhy7wbe2g6zxru
2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, JSTARS 2021 8703-8717 CFCANet: A Complete Frequency Channel Attention Network for SAR Image Scene Classification. ...
., +, JSTARS 2021 4310-4320 Noise measurement CFCANet: A Complete Frequency Channel Attention Network for SAR Image Scene Classification. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy