activity
20132024
most citedTarget Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors

133 citations · 178 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 37 cited

LDA-MIG Detectors for Maritime Targets in Nonhomogeneous Sea Clutter

Xiaoqiang Hua, Linyu Peng, Weijian Liu +4

This paper deals with the problem of detecting maritime targets embedded in nonhomogeneous sea clutter, where limited number of secondary data is available due to the heterogeneity…

eess.SP2022★ 1 cited

Dual Power Spectrum Manifold and Toeplitz HPD Manifold: Enhancement and Analysis for Matrix CFAR Detection

Hao Wu, Yongqiang Cheng, Xixi Chen +3

Recently, an innovative matrix CFAR detection scheme based on information geometry, also referred to as the geometric detector, has been developed speedily and exhibits distinct ad…

eess.SP2020★ 133 cited

Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors

Xiaoqiang Hua, Yusuke Ono, Linyu Peng +2

Information divergences are commonly used to measure the dissimilarity of two elements on a statistical manifold. Differentiable manifolds endowed with different divergences may po…

eess.SP2017★ 1 cited

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…

cs.IT2013★ 6 cited

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…