activity
20162024
most citedMachine learning based hyperspectral image analysis: A survey

106 citations · 123 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis

Karan Mahesh, Tyler M. Paine, Max L. Greene +6

Marine robots must maintain precise control and ensure safety during tasks like ocean monitoring, even when encountering unpredictable disturbances that affect performance. Designi…

eess.SY2023

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances

Nicholas Rober, Karan Mahesh, Tyler M. Paine +5

Deploying autonomous systems in safety critical settings necessitates methods to verify their safety properties. This is challenging because real-world systems may be subject to di…

cs.RO2023

Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion

Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro

Multi-modal depth estimation is one of the key challenges for endowing autonomous machines with robust robotic perception capabilities. There have been outstanding advances in the…

cs.CV2018★ 106 cited

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…

cs.CV2018★ 7 cited

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,…

cs.CV2016★ 4 cited

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…

cs.CV2016★ 6 cited

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…