20 citations · 20 across the 1 of their papers we have counts for
5 papers
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…
Kernel based regression with robust loss function via iteratively reweighted least squares
Hongwei Dong, Liming Yang
Least squares kernel based methods have been widely used in regression problems due to the simple implementation and good generalization performance. Among them, least squares supp…
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,…