Subhadip Sarkar

Learn More
We present a generalized random field model in a random environment to classify hyperspectral textures. The model generalizes traditional random field models by allowing the spatial interaction parameters of the field to be random variables. Principal component analysis is used to reduce the dimensionality of the data set to a small number of spectral bands(More)
The present paper shows that time domain data measured from different in-situ generator transformers can be successfully transformed to frequency domain. It is also shown that the transformed frequency domain data can be used to determine insulation condition. For the present work, Polarization-Depolarization Current is measured using a low-cost instrument(More)
  • 1