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Conrad M Albrecht

Senior Researcher

Sub department

  • Atmospheric, Oceanic and Planetary Physics
conrad.albrecht@physics.ox.ac.uk
  • About
  • Publications

Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium IEEE (2022) 139-142

Authors:

Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu
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Towards Global Forest Biomass Estimators from Tree Height Data

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium IEEE (2022) 5652-5655

Authors:

Qian Song, Conrad M Albrecht, Zhitong Xiong, Xiao Xiang Zhu
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AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning

2021 IEEE International Conference on Big Data (Big Data) IEEE (2021) 1779-1786

Authors:

Conrad M Albrecht, Fernando Marianno, Levente J Klein
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PAIRS (RE)LOADED: SYSTEM DESIGN & BENCHMARKING FOR SCALABLE GEOSPATIAL APPLICATIONS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Copernicus GmbH XLII-3/W12-2020 (2020) 255-260

Authors:

CM Albrecht, N Bobroff, B Elmegreen, M Freitag, HF Hamann, I Khabibrakhmanov, L Klein, S Lu, F Marianno, J Schmude, X Shao, C Siebenschuh, R Zhang

Abstract:

Abstract. In this paper we benchmark a previously introduced big data platform that enables the analysis of big data from remote sensing and other geospatial-temporal data. The platform, called IBM PAIRS Geoscope, has been developed by leveraging open source big data technologies (Hadoop/HBase) that are in principle scalable in storage and compute to hundreds of PetaBytes. Currently, PAIRS hosts multiple PetaBytes of curated and geospatial-temporally indexed data. It organizes all data with key-value combinations, performing analytics close to the data to minimize data movement.
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Map Generation from Large Scale Incomplete and Inaccurate Data Labels

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ACM (2020) 2514-2522

Authors:

Rui Zhang, Conrad Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu
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