Thomas Oommen

Orcid: 0000-0002-1024-3474

According to our database1, Thomas Oommen authored at least 22 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Automated Flood Prediction along Railway Tracks Using Remotely Sensed Data and Traditional Flood Models.
Remote. Sens., July, 2024

Suitability of the height above nearest drainage (HAND) model for flood inundation mapping in data-scarce regions: a comparative analysis with hydrodynamic models.
Earth Sci. Informatics, June, 2024

PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis.
Environ. Model. Softw., 2024

MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems.
Remote. Sens., June, 2023

Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing.
Sensors, 2023

Individual Fairness Under Uncertainty.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning.
Remote. Sens., 2021

2020
Utilizing Hyperspectral Remote Sensing for Soil Gradation.
Remote. Sens., 2020

Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California.
Remote. Sens., 2019

Evaluation of Photogrammetry and Inclusion of Control Points: Significance for Infrastructure Monitoring.
Data, 2019

Optimal segmentation of high spatial resolution images for the classification of buildings using random forests.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Utilizing satellite radar remote sensing for burn severity estimation.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Effect of Label Noise on the Machine-Learned Classification of Earthquake Damage.
Remote. Sens., 2017

Monitoring and modeling tailings impoundment settlement near Great Salt Lake (UTAH) using multi-platform time-series InSAR observations.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Post-Eruption Deformation Processes Measured Using ALOS-1 and UAVSAR InSAR at Pacaya Volcano, Guatemala.
Remote. Sens., 2016

2010
Model Development and Validation for Intelligent Data Collection for Lateral Spread Displacements.
J. Comput. Civ. Eng., 2010

2008
A New Approach to Liquefaction Potential Mapping using Satellite Remote Sensing and Support Vector Machine Algorithm.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


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