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Jacob Arndt
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2020 – today
- 2024
- [j3]Jacob Arndt
, Jason Wohlgemuth
A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c13]Philipe A. Dias
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. SIGSPATIAL/GIS 2024: 597-600 - [c12]Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow:
Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. IGARSS 2024: 234-238 - [c11]Jacob Arndt, Anurupa Roy, Marie L. Urban, Dalton D. Lunga:
Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery. IGARSS 2024: 1576-1580 - [c10]Philipe A. Dias, Jacob Arndt, Marie L. Urban, Dalton D. Lunga:
Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles. IGARSS 2024: 1741-1745 - [c9]Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga:
Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. IGARSS 2024: 2723-2728 - [i1]Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. CoRR abs/2410.19965 (2024) - 2023
- [c8]Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters
Towards Rapid Response Updates of Populations at Risk. IGARSS 2023: 907-910 - [c7]Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. IGARSS 2023: 1241-1244 - [c6]Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth:
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. IGARSS 2023: 1400-1403 - [c5]Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman:
Scaling Automatic Vector Data Alignment to Satellite Imagery. IGARSS 2023: 1676-1679 - 2022
- [c4]Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8 - The Detection of Flooded Roads and Buildings. CVPR Workshops 2022: 1471-1479 - [c3]Ronny Hänsch, Jacob Arndt, Matthew Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow:
The SpaceNet 8 Challenge - From Foundation Mapping to Flood Detection. IGARSS 2022: 5073-5076 - 2021
- [j2]Jacob Arndt
Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2634-2648 (2021) - [j1]Dalton D. Lunga
ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10468-10483 (2021) - 2020
- [c2]Jacob Arndt, Dalton D. Lunga:
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. IGARSS 2020: 1953-1956
2010 – 2019
- 2019
- [c1]Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille:
Multiscale Based Characterization and Classification of Urban Land-Use. IGARSS 2019: 9470-9473
Coauthor Index
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