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Infrared Target Detection Methodologies

Infrared Target Detection Methodologies is a research topic within Aerospace Engineering. Science Explorer counts 33k research works in it since 1950. 22.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the detection and tracking of small infrared targets, utilizing methods such as contrast measures, nonuniformity correction, visual attention, sparse representation, and background separation. The research aims to enhance the detectability of small targets in complex backgrounds and improve the accuracy of target acquisition in infrared imagery.

  • Infrared
  • Small Target
  • Detection
  • Contrast Measure
  • Nonuniformity Correction
  • Visual Attention
  • Sparse Representation
  • Background Separation
  • Human Visual System
  • Saliency
Research works
33k
fractional, since 1950
In the world top 10%
7.3k
per year above
Top-10% rate
22.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+1%
the tick is no change

Which countries lead Infrared Target Detection Methodologies research?

By volume, China and the United States publish the most (4.3k and 539 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 4.3k works
  2. 2 United States 539 works
  3. 3 India 318 works
  4. 4 South Korea 160 works
  5. 5 Germany 135 works
  6. 6 Japan 129 works
  7. 7 France 105 works
  8. 8 United Kingdom 101 works
  9. 9 Russia 98 works
  10. 10 Italy 78 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 72.1%United States: 9.0%India: 5.3%South Korea: 2.7%6 others listed: 10.8%72%largest
China4,299 · 72.1%United States539 · 9.0%India318 · 5.3%South Korea160 · 2.7%6 others listed645 · 10.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Infrared Target Detection Methodologies research?

By volume in 2022–2025, National University of Defense Technology publishes the most Infrared Target Detection Methodologies research, followed by Beijing Institute of Technology and Chinese Academy of Sciences.

Who are the leading researchers in Infrared Target Detection Methodologies?

The most-cited researchers publishing on Infrared Target Detection Methodologies include Luc Van Gool.

  1. 1 Luc Van Gool Switzerland 8.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Infrared Target Detection Methodologies research done?

The largest centres of Infrared Target Detection Methodologies research in 2022–2025 are Beijing (China), Xi'an (China), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an.

Largest cities, 2022–2025

  1. 1 Beijing China 946 works
  2. 2 Xi'an China 435 works
  3. 3 Nanjing China 274 works
  4. 4 Shanghai China 237 works
  5. 5 Wuhan China 219 works
  6. 6 Changsha China 182 works
  7. 7 Chengdu China 172 works
  8. 8 Harbin China 153 works
  9. 9 Changchun China 102 works
  10. 10 Hangzhou China 100 works

Where it is the local speciality

  1. Xi'anCN · 435.4 works8.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Infrared Target Detection Methodologies than the world average.

See Infrared Target Detection Methodologies on the map

Where is the best place to study Infrared Target Detection Methodologies?

Among universities, judged by research, Xidian University, Northwestern Polytechnical University and National University of Defense Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 35.07%fractional works in this node (log) →share in the world top 10% →Xidian University: 102, 39.2%Northwestern Polytechnical University: 92, 39.4%National University of Defense Technology: 132, 31.8%Dalian Maritime University: 42, 30.6%Aerospace Information Research Institute: 21, 43.0%Beijing Institute of Technology: 108, 31.4%Nanjing University of Science and Technology: 79, 33.5%University of Electronic Science and Technology of China: 74, 34.0%Beihang University: 69, 34.7%Nanjing University of Aeronautics and Astronautics: 57, 33.1%Northwestern Polytec…Xidian UniversityNational University …Dalian Maritime Univ…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Xidian UniversityChina 65.939.2%20.8×102 -20.8%
2 Northwestern Polytechnical UniversityChina 63.739.4%12.0×92 -53.0%
3 National University of Defense TechnologyChina 62.231.8%25.4×132 -15.3%
4 Dalian Maritime UniversityChina 62.130.6%16.9×42 +119.0%
5 Aerospace Information Research InstituteChina 61.143.0%26.6×21
6 Beijing Institute of TechnologyChina 60.831.4%13.5×108 -32.3%
7 Nanjing University of Science and TechnologyChina 59.733.5%14.3×79 -29.8%
8 University of Electronic Science and Technology of ChinaChina 59.434.0%9.8×74 -35.4%
9 Beihang UniversityChina 58.734.7%9.2×69 -10.2%
10 Nanjing University of Aeronautics and AstronauticsChina 55.433.1%9.5×57 -35.3%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Infrared Target Detection Methodologies research growing?

Output in 2018–2022 was 1% higher than in 2013–2017, peaking in 2024.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.