A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes. - Utsav B. Gewali; Sildomar T. Monteiro (ICIP, 2016)

Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields. - Utsav B. Gewali; Sildomar T. Monteiro (WHISPERS, 2016)

Multitask learning of vegetation biochemistry from hyperspectral data. - Utsav B. Gewali; Sildomar T. Monteiro (WHISPERS, 2016)

Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification. - Utsav B. Gewali; Sildomar T. Monteiro (IGARSS, 2017)

Dual-Channel Densenet for Hyperspectral Image Classification. - Gefei Yang; Utsav B. Gewali; Emmett J. Ientilucci; Michael G. Gartley; Sildomar T. Monteiro (IGARSS, 2018)

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis. - Utsav B. Gewali; Sildomar T. Monteiro (CoRR, 2018)

Machine learning based hyperspectral image analysis: A survey. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (CoRR, 2018)

EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery. - Ronald Kemker; Utsav B. Gewali; Christopher Kanan (CoRR, 2018)

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (Remote. Sens., 2019)

Spectral Super-Resolution with Optimized Bands. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (Remote. Sens., 2019)