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Thomas Oommen
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2020 – today
- 2024
- [j16]Mohammed Basheer, Thomas Oommen:
PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis. Environ. Model. Softw. 177: 106055 (2024) - [j15]Navin Tony Thalakkottukara, Jobin Thomas, Melanie Kueber Watkins, Benjamin C. Holland, Thomas Oommen, Himanshu Grover:
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 17(3): 1907-1921 (2024) - [j14]Abdul Rashid Zakaria, Thomas Oommen, Pasi Lautala:
Automated Flood Prediction along Railway Tracks Using Remotely Sensed Data and Traditional Flood Models. Remote. Sens. 16(13): 2332 (2024) - [c6]Sidike Paheding, Abel A. Reyes, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset. WACV 2024: 8221-8230 - 2023
- [j13]Marta Zocchi, Anush Kumar Kasaragod, Abby Jenkins, Chris Cook, Richard Dobson, Thomas Oommen, Dana Van Huis, Beau Taylor, Colin N. Brooks, Roberta Marini, Francesco Troiani, Paolo Mazzanti:
Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems. Remote. Sens. 15(12): 3016 (2023) - [j12]Jordan Ewing, Thomas Oommen, Jobin Thomas, Anush Kasaragod, Richard Dobson, Colin N. Brooks, Paramsothy Jayakumar, Michael Cole, Tulga Ersal:
Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing. Sensors 23(12): 5505 (2023) - [c5]Abel A. Reyes, Sidike Paheding, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery. CVPR Workshops 2023: 354-364 - [c4]Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Under Uncertainty. ECAI 2023: 3042-3049 - 2022
- [c3]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CVPR Workshops 2022: 408-416 - [i1]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CoRR abs/2204.10099 (2022) - 2021
- [j11]Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger:
Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning. Remote. Sens. 13(12): 2306 (2021) - 2020
- [j10]Chandan Kumar, Snehamoy Chatterjee, Thomas Oommen, Arindam Guha:
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 86 (2020) - [j9]Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger:
Utilizing Hyperspectral Remote Sensing for Soil Gradation. Remote. Sens. 12(20): 3312 (2020)
2010 – 2019
- 2019
- [j8]James Bialas, Thomas Oommen, Timothy C. Havens:
Optimal segmentation of high spatial resolution images for the classification of buildings using random forests. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j7]Renee C. Oats, Rüdiger Escobar-Wolf, Thomas Oommen:
Evaluation of Photogrammetry and Inclusion of Control Points: Significance for Infrastructure Monitoring. Data 4(1): 42 (2019) - [j6]El Hachemi Bouali, Thomas Oommen, Rüdiger Escobar-Wolf:
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. 11(8): 937 (2019) - 2018
- [j5]Ren N. Keyport, Thomas Oommen, Tapas Ranjan Martha, K. S. Sajinkumar, John S. Gierke:
A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images. Int. J. Appl. Earth Obs. Geoinformation 64: 1-11 (2018) - [j4]Priscilla Addison, Thomas Oommen:
Utilizing satellite radar remote sensing for burn severity estimation. Int. J. Appl. Earth Obs. Geoinformation 73: 292-299 (2018) - 2017
- [j3]Jared Frank, Umaa Rebbapragada, James Bialas, Thomas Oommen, Timothy C. Havens:
Effect of Label Noise on the Machine-Learned Classification of Earthquake Damage. Remote. Sens. 9(8): 803 (2017) - [c2]Xie Hu, Zhong Lu, Thomas Oommen, Teng Wang, Jinwoo Kim:
Monitoring and modeling tailings impoundment settlement near Great Salt Lake (UTAH) using multi-platform time-series InSAR observations. IGARSS 2017: 40-43 - 2016
- [j2]Lauren N. Schaefer, Zhong Lu, Thomas Oommen:
Post-Eruption Deformation Processes Measured Using ALOS-1 and UAVSAR InSAR at Pacaya Volcano, Guatemala. Remote. Sens. 8(1): 73 (2016) - 2010
- [j1]Thomas Oommen, Laurie G. Baise:
Model Development and Validation for Intelligent Data Collection for Lateral Spread Displacements. J. Comput. Civ. Eng. 24(6): 467-477 (2010)
2000 – 2009
- 2008
- [c1]Thomas Oommen, Laurie G. Baise:
A New Approach to Liquefaction Potential Mapping using Satellite Remote Sensing and Support Vector Machine Algorithm. IGARSS (3) 2008: 51-54
Coauthor Index
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