6 citations · 8 across the 5 of their papers we have counts for
5 papers
Fast Super-resolution 3D SAR Imaging Using an Unfolded Deep Network
Jingkun Gao, Bin Deng, Yuliang Qin +2
For 3D Synthetic Aperture Radar (SAR) imaging, one typical approach is to achieve the cross-track 1D focusing for each range-azimuth pixel after obtaining a stack of 2D complex-val…
Enhanced Radar Imaging Using a Complex-valued Convolutional Neural Network
Jingkun Gao, Bin Deng, Yuliang Qin +2
Convolutional neural networks (CNN) have been successfully employed to tackle several remote sensing tasks such as image classification and show better performance than previous te…
Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
We derive a statistical model for estimation of a dendrogram from single linkage hierarchical clustering (SLHC) that takes account of uncertainty through noise or corruption in the…
Statistical Properties of the Single Linkage Hierarchical Clustering Estimator
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
Distance-based hierarchical clustering (HC) methods are widely used in unsupervised data analysis but few authors take account of uncertainty in the distance data. We incorporate a…
Knowledge-Aided STAP Using Low Rank and Geometry Properties
Zhaocheng Yang, Rodrigo C. de Lamare, Xiang Li +1
This paper presents knowledge-aided space-time adaptive processing (KA-STAP) algorithms that exploit the low-rank dominant clutter and the array geometry properties (LRGP) for airb…