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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3454266
Abstract: Synthetic aperture radar (SAR) has the advantage of providing imaging capabilities throughout the day and under all-weather conditions, which makes it particularly important for Earth observation applications. Recently, the utilization of deep learning for SAR…
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Keywords:
target recognition;
recognition;
shot sar;
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3556597
Abstract: The intricate imaging attributes of synthetic aperture radar (SAR) present a formidable challenge to the prevailing few-shot target classification. In order to address this issue, we study how to leverage natural images to assist with…
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Keywords:
shot sar;
sar;
target classification;
natural images ... See more keywords
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Published in 2024 at "Frontiers in Earth Science"
DOI: 10.3389/feart.2024.1469032
Abstract: Currently, in Synthetic Aperture Radar Automatic Target Recognition (SAR ATR), few-shot methods can save cost and resources while enhancing adaptability. However, due to the limitations of SAR imaging environments and observation conditions, obtaining a large…
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Keywords:
unknown classes;
shot sar;
meta learning;
target ... See more keywords