113 citations · 328 across the 16 of their papers we have counts for
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cs.CV2015★ 42 cited
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…
math.OC2015★ 5 cited
Randomized Block Subgradient Methods for Convex Nonsmooth and Stochastic Optimization
Qi Deng, Guanghui Lan, Anand Rangarajan
Block coordinate descent methods and stochastic subgradient methods have been extensively studied in optimization and machine learning. By combining randomized block sampling with…
cs.CV2015
Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models
Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan +1
A novel algorithm is proposed to downscale microwave brightness temperatures (), at scales of 10-40 km such as those from the Soil Moisture Active Passive mission to…