60 citations · 170 across the 7 of their papers we have counts for
6 papers · 1 filter
Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment
Jiang Qin, Bin Zou, Haolin Li +1
In recent years, continuous improvements in SAR resolution have significantly benefited applications such as urban monitoring and target detection. However, the improvement in reso…
Background Debiased SAR Target Recognition via Causal Interventional Regularizer
Hongwei Dong, Fangzhou Han, Lingyu Si +2
Recent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the…
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
Lamei Zhang, Siyu Zhang, Bin Zou +1
Deep learning and convolutional neural networks (CNNs) have made progress in polarimetric synthetic aperture radar (PolSAR) image classification over the past few years. However, a…
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Hongwei Dong, Siyu Zhang, Bin Zou +1
Convolutional neural networks (CNNs) have shown good performance in polarimetric synthetic aperture radar (PolSAR) image classification due to the automation of feature engineering…
Band Attention Convolutional Networks For Hyperspectral Image Classification
Hongwei Dong, Lamei Zhang, Bin Zou
Redundancy and noise exist in the bands of hyperspectral images (HSIs). Thus, it is a good property to be able to select suitable parts from hundreds of input bands for HSIs classi…
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework
Lamei Zhang, Hongwei Dong, Bin Zou
Convolutional neural networks (CNNs) have been widely used to improve the accuracy of polarimetric synthetic aperture radar (PolSAR) image classification. However, in most studies,…