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 …

In this paper, we introduce the first Challenge on Multimodal Aerial View Object
Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This …

Automatic target recognition (ATR) using image data is an important computer vision task
with widespread applications in remote sensing for surveillance, object tracking, urban …

Abstract Synthetic Aperture Radar (SAR) has received more attention due to its
complementary superiority on capturing significant information in the remote sensing area …

深度学习是一门依赖于数据的科学, 传统深度学习方法假定在平衡数据集上训练模型, 然而,
现实世界中大规模数据集通常表现出长尾分布现象, 样本数量众多的少量头部类主导模型训练 …

In recent years, it has been a research hotspot to apply big data-driven deep learning
methods to synthetic aperture radar (SAR) target recognition with limited data. However, the …

Object detection and classification using aerial images is a challenging task as the
information regarding targets are not abundant. Synthetic Aperture Radar (SAR) images can …

With the rapid development of deep learning technology, significant progress has been
made in the field of synthetic aperture radar (SAR) target recognition algorithms. However …

Research about SAR target recognition has received a lot of attention in recent years. The
relevant research results encountered some obstacles in their practical application. This is …