Jacob Arndt

According to our database, Jacob Arndt authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies.

Jacob Arndt, Jason Wohlgemuth, Hsiuhan Lexie Yang, Jordan Bowman, Dalton D. Lunga, Dawn King

IEEE Geosci. Remote. Sens. Lett., 2024

Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses.

Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow

Proceedings of the IGARSS 2024, 2024

Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles.

Philipe A. Dias, Jacob Arndt, Marie L. Urban, Dalton D. Lunga

Proceedings of the IGARSS 2024, 2024

Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery.

Jacob Arndt, Anurupa Roy, Marie L. Urban, Dalton D. Lunga

Proceedings of the IGARSS 2024, 2024

Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models.

Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga

Proceedings of the IGARSS 2024, 2024

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery.

Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023

Towards Rapid Response Updates of Populations at Risk.

Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding.

Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Scaling Automatic Vector Data Alignment to Satellite Imagery.

Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters.

Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

The SpaceNet 8 Challenge - From Foundation Mapping to Flood Detection.

Ronny Hänsch, Jacob Arndt, Matthew Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SpaceNet 8 - The Detection of Flooded Roads and Buildings.

Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization.

Dalton D. Lunga, Jacob Arndt, Jonathan Gerrand, Robert N. Stewart

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery.

Jacob Arndt, Dalton D. Lunga

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images.

Jacob Arndt, Dalton D. Lunga

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Multiscale Based Characterization and Classification of Urban Land-Use.

Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019