Data Acquisition Pipelines
Data Acquisition Pipelines is a systematic framework that orchestrates the sequential processes of capturing, preprocessing, storing, and managing image data from source to usable format, distinguishing it from ad hoc data collection methods by its automated, structured, and reproducible workflow design.
119
Publications
6.7K
Citations
901
Authors
262
Institutions
Publications per year
2017–2026
58
Parents
119
Color image processing pipeline
Rajeev Ramanath, W.E. Snyder, Youngjun Yoo et al. · IEEE Signal Processing Magazine · 2005 · 365 citations
CRISPRED: A data pipeline for the CRISP imaging spectropolarimeter
J. de la Cruz Rodríguez, M. G. Löfdahl, P. Sütterlin et al. · Astronomy and Astrophysics · 2014 · 237 citations · Full text
Natural Sciences, Astronomy, Physics +14
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262

Chinese Academy of Sciences
Beijing, China
5 h-index
33 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
15 publications
649 citations
Princeton University
Princeton, United States
4 h-index
9 publications
457 citations

European Organization for Nuclear Research
Geneva, Switzerland
4 h-index
40 publications
3.7K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
8 publications
983 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
193 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
54 citations
Tsinghua University
Beijing, China
3 h-index
4 publications
100 citations
1–8 of 262
8 publications · 245 citations
8
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6 publications · 274 citations
6
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3 publications · 105 citations
3
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3 publications · 248 citations
3
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2 publications · 971 citations
2
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1–5