Zongyong Cui

Automatic Unseen Class Discovery Algorithm Based on Clustering Analysis

2022 · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Although deep learning has achieved great success in automatic target recognition, the model needs a large number of labeled samples for training. In real life, it is a time-consuming and laborious work to label unlabeled …

Distribution Reliability Assessment-Based Incremental Learning for Automatic Target Recognition

2023 · IEEE Transactions on Geoscience and Remote Sensing

In order to rapidly improve the automatic target recognition (ATR) system when new unknown samples are constantly captured, it is necessary to examine the existing training samples and recognition model so that the ATR system …

Signal Modulation Recognition via Bias Adjustment-Based Class Incremental Learning

2024 · IEEE Sensors Journal

Automatic modulation classification (AMC) is crucial for electronic warfare, spectrum monitoring, and cognitive radios. Traditional methods, relying on maximum likelihood estimation and manual feature extraction, face challenges, such as complexity, inaccuracy, and limited adaptability. In …

Smooth Distribution and Depth-Focused Distillation-Based Class-Incremental Learning for SAR Target Detection

2025 · IEEE Transactions on Geoscience and Remote Sensing

Incremental learning methods can overcome the problem of catastrophic forgetting in synthetic aperture radar (SAR) target detection models when continuously learning new class data. However, due to the characteristics of SAR images, such as large …