Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

Due to the advantages of Synthetic Aperture Radar (SAR), the study of Automatic Target
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …

Recently, deep learning in synthetic aperture radar (SAR) automatic target recognition (ATR)
has made significant progress, but the sample limitation problem in the SAR field is still …

Synthetic aperture radar automatic target recognition (SAR ATR) is a key technique of
remote-sensing image recognition, which has many potential applications in the fields of …

Radar high-resolution range profile (HRRP) plays a crucial role in ballistic target recognition
due to its simplicity and fast computation. Convolutional neural networks (CNNs), a popular …

Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

Multifeature synthetic aperture radar (SAR) ship classification aims to build models that can
process, correlate, and fuse information from both handcrafted and deep features. Although …

Current synthetic aperture radar (SAR) ship classification research mainly focuses on
modifying deep convolutional neural networks (DCNNs) and injecting manual features on …

Deep-learning-based synthetic aperture radar automatic target recognition (SAR-ATR) plays
a significant role in the military and civilian fields. However, data limitation and large …

Synthetic aperture radar (SAR) automatic target recognition (ATR) is the key technique for
remote-sensing image recognition. The state-of-the-art convolutional neural networks …