101 citations · 180 across the 4 of their papers we have counts for
4 papers · 1 filter
Dual Branch Neural Network for Sea Fog Detection in Geostationary Ocean Color Imager
Yuan Zhou, Keran Chen, Xiaofeng Li
Sea fog significantly threatens the safety of maritime activities. This paper develops a sea fog dataset (SFDD) and a dual branch sea fog detection network (DB-SFNet). We investiga…
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability
Yuan Zhou, Erin B. Wetherley, Paul D. Gader
In this paper, we model a pixel as a linear combination of endmembers sampled from probability distributions of Gaussian mixture models (GMM). The parameters of the GMM distributio…
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing
Yuan Zhou, Anand Rangarajan, Paul D. Gader
Hyperspectral unmixing while considering endmember variability is usually performed by the normal compositional model (NCM), where the endmembers for each pixel are assumed to be s…
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation
Yuan Zhou, Anand Rangarajan, Paul Gader
The normal compositional model (NCM) has been extensively used in hyperspectral unmixing. However, most of the previous research has focused on estimation of endmembers and/or thei…