Publications per year
Publications per year
Overview
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Eng-Image Processing, Doctorate Degree
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Researcher collaborations from the last five years
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2023-2024 Technical Report: Updates to USA Structures
Yang, H., Hauser, T., Swan, B., Tuccillo, J., Adams, D., Potnis, A., Moehl, J. & Mcateer, J., Sep 2024Research output: Other contribution › Technical Report
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Benchmarking and end-to-end considerations for GeoAI-enabled decision-making
Lexie Yang, H., Ambrozio Dias, P., Arndt, J., Wohlgemuth, J., Potnis, A. & Lunga, D., Jan 1 2024, Advances in Machine Learning and Image Analysis for GeoAI. Elsevier, p. 93-114 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses
Hänsch, R., Arndt, J., Dias, P., Potnis, A., Lunga, D., Petrie, D. & Bacastow, T. M., 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 234-238 5 p. (International Geoscience and Remote Sensing Symposium (IGARSS)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Pretraining Billion-Scale Geospatial Foundational Models on Frontier
Tsaris, A., Dias, P. A., Potnis, A., Yin, J., Wang, F. & Lunga, D., 2024, 2024 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2024. Institute of Electrical and Electronics Engineers Inc., p. 1036-1046 11 p. (2024 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models
Arndt, J., Dias, P., Potnis, A. & Lunga, D., 2024, p. 2723-2728. 6 p.Research output: Contribution to conference › Paper › peer-review