Background Estimator Design is a methodological contribution in signal or image processing that specifies the construction of algorithms or models for characterizing and subtracting non-target components from observed data to enhance target detection or analysis.
7
Publications
134
Citations
26
Authors
10
Institutions
Publications per year
2017–2026
0
Parents
Publications
7
1–5 of 7
Authors
26
- MH
2
h-index
- RT
2
h-index
- HY
1
h-index
- DR
1
h-index
- GW
1
h-index
1–5 of 26
Institutions
10
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
56 citations
Pennsylvania State University
State College, United States
2 h-index
2 publications
28 citations
Athens Information Technology
Athens, Greece
1 h-index
2 publications
44 citations
National Institute for Materials Science
Tsukuba, Japan
1 h-index
3 publications
33 citations
Pacific Northwest National Laboratory
Richland, United States
1 h-index
10 publications
360 citations
National Institute of Technology, Yonago College
Yonago, Japan
1 h-index
4 publications
44 citations
Battelle
Columbus, United States
1 h-index
10 publications
360 citations
Los Alamos National Laboratory
Los Alamos, United States
1 h-index
2 publications
30 citations
1–8 of 10
Venues
- Journal of Radioanalytical and Nuclear Chemistry
1 publications · 36 citations
1
h-index
- Journal of Surface Analysis
1 publications · 11 citations
1
h-index
- Computer Vision and Image Understanding
CVIU · 1 publications · 16 citations
1
h-index
- Publications of the Astronomical Society of the Pacific
PASP · 1 publications · 13 citations
1–4