106 citations · 125 across the 5 of their papers we have counts for
5 papers
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Ronald Kemker, Utsav B. Gewali, Christopher Kanan
Deep learning continues to push state-of-the-art performance for the semantic segmentation of color (i.e., RGB) imagery; however, the lack of annotated data for many remote sensing…
Machine learning based hyperspectral image analysis: A survey
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
Hyperspectral sensors enable the study of the chemical properties of scene materials remotely for the purpose of identification, detection, and chemical composition analysis of obj…
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
Utsav B. Gewali, Sildomar T. Monteiro
Undirected graphical models have been successfully used to jointly model the spatial and the spectral dependencies in earth observing hyperspectral images. They produce less noisy,…
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data
Utsav B. Gewali, Sildomar T. Monteiro
Statistical models have been successful in accurately estimating the biochemical contents of vegetation from the reflectance spectra. However, their performance deteriorates when t…
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields
Utsav B. Gewali, Sildomar T. Monteiro
In this paper, we propose and compare two spectral angle based approaches for spatial-spectral classification. Our methods use the spectral angle to generate unary energies in a gr…