Feature-based Data Association
Feature-Based Data Association is a data association method that relies on the comparison of extracted features from sensor measurements to establish correspondences between observations and existing tracks, distinguished from other methods by its dependence on feature-level evidence rather than raw data or spatial proximity alone.
18
Publications
497
Citations
60
Authors
30
Institutions
Publications per year
2017–2026
5
Parents
18
Simultaneous feature-based identification and track fusion
Erik Blasch, Lang Hong · 2002 · 35 citations
Ship Surveillance by Integration of Space-borne SAR and AIS – Further Research
Zhi Zhao, Kefeng Ji, Xiangwei Xing et al. · Journal of Navigation · 2013 · 33 citations
A model for information technologies that can be creative
Johan F. Hoorn · 2002 · 30 citations
Arts, Design, Information Technology +15
1–5 of 18
60
2
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Johns Hopkins University Applied Physics Laboratory, United States
2 publications · 44 citations
2
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2
h-index
2
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2
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1–5 of 60
30

Johns Hopkins University Applied Physics Laboratory
North Laurel, United States
2 h-index
15 publications
337 citations
Duke University
Durham, United States
2 h-index
8 publications
176 citations
Defence Science and Technology Group
Canberra, Australia
1 h-index
1 publications
13 citations
Naval Aeronautical and Astronautical University
Yantai, China
1 h-index
6 publications
132 citations
FZI Research Center for Information Technology
Karlsruhe, Germany
1 h-index
2 publications
46 citations
Fraunhofer-Gesellschaft
Munich, Germany
1 h-index
3 publications
42 citations

Draper Laboratory
Cambridge, United States
1 h-index
1 publications
15 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
1 h-index
1 publications
35 citations
1–8 of 30
3 publications · 49 citations
3
h-index
1 publications · 25 citations
1
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Conference · 1 publications · 13 citations
1
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1 publications · 58 citations
1
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Repository · 1 publications · 29 citations
1
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1–5