Sensor Data Fusion
Sensor Data Fusion is a process within distributed sensing systems that integrates complementary and redundant information from multiple heterogeneous sensors in sensor networks for mining to produce more accurate, consistent, and reliable situational representations than could be achieved by individual sensor inputs alone.
2K
Publications
98.2K
Citations
5.9K
Authors
1.7K
Institutions
Publications per year
2017–2026
759
2K
Detection, classification, and tracking of targets
Dan Li, Kerry D. Wong, Yu Hen Hu et al. · IEEE Signal Processing Magazine · 2002 · 933 citations · Full text
1–5 of 2K
5.9K
18
h-index
United States Air Force Research Laboratory, United States
14 publications · 613 citations
12
h-index
12
h-index
Ostwestfalen-Lippe University of Applied Sciences and Arts, Germany
9 publications · 155 citations
9
h-index
9
h-index
1–5 of 5.9K
1.7K
Syracuse University
Syracuse, United States
20 h-index
61 publications
7.6K citations

Northwestern Polytechnical University
Xi'an, China
20 h-index
93 publications
5K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
56 publications
3.6K citations

Pennsylvania State University
State College, United States
18 h-index
61 publications
2.3K citations

Zhejiang University
Hangzhou, China
16 h-index
40 publications
2K citations
Tsinghua University
Beijing, China
16 h-index
51 publications
2.9K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
51 publications
2K citations

Shanghai Jiao Tong University
Shanghai, China
15 h-index
46 publications
1.5K citations
1–8 of 1.7K
63 publications · 8.2K citations
40
h-index
107 publications · 4.6K citations
36
h-index
42 publications · 1.7K citations
27
h-index
40 publications · 2K citations
26
h-index
34 publications · 4.7K citations
25
h-index
1–5