Global-Local Information Interactive Learning Network for SAR Target Recognition with Limited Samples

• Published in: IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 9858 - 9861
• Main Authors: Miao, Lei, Ren, Haohao, Li, Yue, Zou, Lin, Wang, Xuegang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.07.2024
• Subjects: Accuracy; Automatic target recognition (ATR); Boosting; Convolution; Costs; Feature extraction; Geoscience and remote sensing; Limited samples; Synthetic aperture radar (SAR); Target recognition
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS53475.2024.10642273

Deep learning-based synthetic aperture radar (SAR) automatic target recognition (ATR) have shown great potential recently, however, the performance of these methods is subject to the number of annotated samples. In real application scenarios, it tends to acquire limited number of samples due to the...