Class information for: |
Basic class information |
ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
---|---|---|---|
3074 | 1895 | 16.6 | 46% |
Classes in level above (level 3) |
ID, lev. above |
Publications | Label for level above |
---|---|---|
33 | 105593 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE//PATTERN RECOGNITION |
Classes in level below (level 1) |
ID, lev. below | Publications | Label for level below |
---|---|---|
16569 | 582 | SMALL TARGET DETECTION//INFRARED SMALL TARGET ENHANCEMENT//INFRARED SMALL TARGET DETECTION |
19092 | 456 | TRIANGLE ORIENTATION DISCRIMINATION THRESHOLD//COMMERCIAL GOVT SYST//SAMPLED IMAGING SYSTEM |
21487 | 359 | NONUNIFORMITY CORRECTION//SCENE BASED NONUNIFORMITY CORRECTION//INFRARED FOCAL PLANE ARRAYS |
22867 | 310 | VISUAL TARGET DISTINCTNESS//CIENCIAS COMPUTAC IA//CLUTTER METRIC |
27436 | 188 | NATURAL IMAGERY//SURFACE DIFFERENTIATION//HUMAN INFORMATION SENSOR |
Terms with highest relevance score |
Rank | Term | Type of term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|---|
1 | NONUNIFORMITY CORRECTION | Author keyword | 20 | 33% | 3% | 50 |
2 | SMALL TARGET DETECTION | Author keyword | 14 | 39% | 1% | 28 |
3 | SCENE BASED NONUNIFORMITY CORRECTION | Author keyword | 14 | 100% | 0% | 7 |
4 | INFRARED FOCAL PLANE ARRAYS | Author keyword | 12 | 37% | 1% | 25 |
5 | DEF OPTOELECT ENGN | Address | 10 | 73% | 0% | 8 |
6 | INFRARED SMALL TARGET ENHANCEMENT | Author keyword | 9 | 83% | 0% | 5 |
7 | INFRARED SMALL TARGET DETECTION | Author keyword | 8 | 75% | 0% | 6 |
8 | VISUAL TARGET DISTINCTNESS | Author keyword | 8 | 100% | 0% | 5 |
9 | PATTERN RECOGNIT ARTIFICIAL INTELLIGENCE | Address | 7 | 15% | 2% | 44 |
10 | NIGHT VIS ELECT SENSORS DIRECTORATE | Address | 7 | 26% | 1% | 23 |
Web of Science journal categories |
Author Key Words |
Key Words Plus |
Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | INFRARED SMALL TARGET | 14 | 100% | 0% | 7 |
2 | MONITOR SCREEN | 14 | 100% | 0% | 7 |
3 | VISUAL TARGET DISTINCTNESS | 11 | 78% | 0% | 7 |
4 | FOCAL PLANE ARRAYS | 10 | 16% | 3% | 60 |
5 | TARGET ACQUISITION PERFORMANCE | 10 | 63% | 1% | 10 |
6 | POINT TARGET | 9 | 59% | 1% | 10 |
7 | CORRECTABILITY | 9 | 67% | 0% | 8 |
8 | MODELING HUMAN SEARCH | 9 | 67% | 0% | 8 |
9 | CONSTANT STATISTICS | 8 | 75% | 0% | 6 |
10 | DYNAMIC PROGRAMMING SOLUTION | 8 | 56% | 1% | 10 |
Journals |
Reviews |
Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
---|---|---|---|---|
Display Clutter: A Review of Definitions and Measurement Techniques | 2015 | 1 | 76 | 29% |
Image Pre-processing Algorithms for Detection of Small/Point Airborne Targets | 2009 | 4 | 4 | 100% |
A method for modelling IR images of sky and clouds | 2011 | 3 | 3 | 100% |
A survey of spectrogram track detection algorithms | 2010 | 17 | 20 | 35% |
Review of current aided/automatic target acquisition technology for military target acquisition tasks | 2011 | 6 | 16 | 63% |
Airborne infrared search and track systems | 2007 | 2 | 1 | 100% |
Small dim object tracking using a multi objective particle swarm optimisation technique | 2015 | 0 | 11 | 82% |
INFRARED FOCAL PLANE ARRAY TECHNOLOGY | 1991 | 127 | 34 | 18% |
Smart imaging in the infrared | 2002 | 2 | 9 | 33% |
Neural networks for automatic target recognition | 1995 | 48 | 30 | 7% |
Address terms |
Rank | Address term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | DEF OPTOELECT ENGN | 10 | 73% | 0.4% | 8 |
2 | PATTERN RECOGNIT ARTIFICIAL INTELLIGENCE | 7 | 15% | 2.3% | 44 |
3 | NIGHT VIS ELECT SENSORS DIRECTORATE | 7 | 26% | 1.2% | 23 |
4 | CIENCIAS COMPUTAC IA | 7 | 22% | 1.4% | 27 |
5 | PATTERN RECOGNIT INTELLIGENT CONTROL | 6 | 80% | 0.2% | 4 |
6 | 440 | 6 | 71% | 0.3% | 5 |
7 | MULTISPE AL INFORMAT PROC TECHNOL | 6 | 71% | 0.3% | 5 |
8 | EEOT | 5 | 63% | 0.3% | 5 |
9 | COMMERCIAL GOVT SYST | 4 | 67% | 0.2% | 4 |
10 | SPACE OPT ENGN | 3 | 20% | 0.6% | 12 |
Related classes at same level (level 2) |