Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
23466 | 345 | 18.7 | 42% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
4 | 4 | ENVIRONMENTAL SCIENCES//GEOSCIENCES, MULTIDISCIPLINARY//METEOROLOGY & ATMOSPHERIC SCIENCES | 1766162 |
149 | 3 | REMOTE SENSING//IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY//INTERNATIONAL JOURNAL OF REMOTE SENSING | 63556 |
2322 | 2 | LAND SURFACE TEMPERATURE//LAND SURFACE TEMPERATURE LST//NONUNIFORMITY CORRECTION | 4463 |
23466 | 1 | CLUTTER METRICS//TARGET ACQUISITION//NIGHT VIS ELECT SENSORS DIRECTORATE | 345 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | CLUTTER METRICS | authKW | 892450 | 3% | 92% | 11 |
2 | TARGET ACQUISITION | authKW | 709372 | 7% | 35% | 23 |
3 | NIGHT VIS ELECT SENSORS DIRECTORATE | address | 621506 | 7% | 28% | 25 |
4 | CIENCIAS COMPUTAC IA | address | 550671 | 8% | 22% | 28 |
5 | SEARCH_2 DATASET | authKW | 481872 | 2% | 78% | 7 |
6 | VISUAL TARGET DISTINCTNESS | authKW | 442538 | 1% | 100% | 5 |
7 | TRIANGLE ORIENTATION DISCRIMINATION THRESHOLD | authKW | 354031 | 1% | 100% | 4 |
8 | PSYCHOPHYSICAL EXPERIMENTS | authKW | 333197 | 2% | 47% | 8 |
9 | MINIMUM RESOLVABLE TEMPERATURE DIFFERENCE | authKW | 289656 | 2% | 55% | 6 |
10 | INTEGRAL FEATURES | authKW | 283223 | 1% | 80% | 4 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Optics | 11030 | 73% | 0% | 253 |
2 | Computer Science, Artificial Intelligence | 208 | 7% | 0% | 24 |
3 | Imaging Science & Photographic Technology | 156 | 3% | 0% | 11 |
4 | Engineering, Aerospace | 133 | 3% | 0% | 11 |
5 | Engineering, Electrical & Electronic | 122 | 13% | 0% | 46 |
6 | Instruments & Instrumentation | 59 | 5% | 0% | 17 |
7 | Remote Sensing | 46 | 2% | 0% | 6 |
8 | Ergonomics | 45 | 1% | 0% | 4 |
9 | Spectroscopy | 36 | 3% | 0% | 12 |
10 | Computer Science, Software Engineering | 21 | 2% | 0% | 8 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | NIGHT VIS ELECT SENSORS DIRECTORATE | 621506 | 7% | 28% | 25 |
2 | CIENCIAS COMPUTAC IA | 550671 | 8% | 22% | 28 |
3 | ETS INGN INFORMAT | 250846 | 9% | 9% | 31 |
4 | COMMERCIAL GOVT SYST | 236018 | 1% | 67% | 4 |
5 | COMMUN ELECT COMMAND | 144552 | 2% | 23% | 7 |
6 | MAT SYST ANAL ACT | 118009 | 1% | 67% | 2 |
7 | NIGHT VIS ELE ON SENSORS DIRECTORATE | 118009 | 1% | 67% | 2 |
8 | NIGHT VISION ELECT SENSORS DIRECTORATE | 118009 | 1% | 67% | 2 |
9 | ADV SENSORS | 113792 | 1% | 43% | 3 |
10 | AMSEL RD NV SSA SAM MCMANAMEY | 88508 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | OPTICAL ENGINEERING | 101988 | 37% | 1% | 126 |
2 | JOURNAL OF OPTICAL TECHNOLOGY | 9266 | 5% | 1% | 18 |
3 | JOURNAL OF INFRARED AND MILLIMETER WAVES | 6469 | 3% | 1% | 12 |
4 | INFRARED PHYSICS & TECHNOLOGY | 5591 | 3% | 1% | 12 |
5 | APPLIED OPTICS | 2253 | 9% | 0% | 30 |
6 | SOVIET JOURNAL OF OPTICAL TECHNOLOGY | 1953 | 1% | 1% | 4 |
7 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS | 1631 | 3% | 0% | 10 |
8 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 885 | 1% | 0% | 4 |
9 | JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 717 | 3% | 0% | 9 |
10 | HUMAN FACTORS | 623 | 1% | 0% | 4 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | CULPEPPER, JB , (2015) TEXTURE METRIC THAT PREDICTS TARGET DETECTION PERFORMANCE.OPTICAL ENGINEERING. VOL. 54. ISSUE 12. P. - | 26 | 96% | 1 |
2 | MEEHAN, AJ , CULPEPPER, JB , (2016) CLUTTER ESTIMATION AND PERCEPTION.OPTICAL ENGINEERING. VOL. 55. ISSUE 11. P. - | 20 | 65% | 0 |
3 | TOET, A , (2010) STRUCTURAL SIMILARITY DETERMINES SEARCH TIME AND DETECTION PROBABILITY.INFRARED PHYSICS & TECHNOLOGY. VOL. 53. ISSUE 6. P. 464-468 | 18 | 67% | 7 |
4 | FRIEDMAN, M , (2013) FUNDAMENTAL SEARCH RELATIONSHIPS AND THEIR APPLICATION TO FIELD OF REGARD SEARCH, SEARCH BY MULTIPLE OBSERVERS, SEARCH FROM A MOVING VEHICLE, AND MULTITARGET SEARCH.OPTICAL ENGINEERING. VOL. 52. ISSUE 4. P. - | 10 | 100% | 2 |
5 | LI, Q , YANG, C , ZHANG, JQ , (2012) TARGET ACQUISITION PERFORMANCE IN A CLUTTERED ENVIRONMENT.APPLIED OPTICS. VOL. 51. ISSUE 31. P. 7668 -7673 | 8 | 100% | 3 |
6 | CHANG, HH , ZHANG, JQ , (2006) EVALUATION OF HUMAN DETECTION PERFORMANCE USING TARGET STRUCTURE SIMILARITY CLUTTER METRICS.OPTICAL ENGINEERING. VOL. 45. ISSUE 9. P. - | 9 | 100% | 10 |
7 | TOET, A , BIJL, P , VALETON, JM , (2001) IMAGE DATASET FOR TESTING SEARCH AND DETECTION MODELS.OPTICAL ENGINEERING. VOL. 40. ISSUE 9. P. 1760 -1767 | 15 | 65% | 28 |
8 | AVIRAM, G , ROTMAN, SR , (2000) EVALUATION OF HUMAN DETECTION PERFORMANCE OF TARGETS EMBEDDED IN NATURAL AND ENHANCED INFRARED IMAGES USING IMAGE METRICS.OPTICAL ENGINEERING. VOL. 39. ISSUE 4. P. 885 -896 | 10 | 100% | 21 |
9 | CHANG, HH , ZHANG, JQ , (2007) DETECTION PROBABILITY AND DETECTION TIME USING CLUTTER METRICS.INFRARED PHYSICS & TECHNOLOGY. VOL. 51. ISSUE 2. P. 83-90 | 8 | 100% | 8 |
10 | AVIRAM, G , ROTMAN, SR , (2000) EVALUATING HUMAN DETECTION PERFORMANCE OF TARGETS AND FALSE ALARMS, USING A STATISTICAL TEXTURE IMAGE METRIC.OPTICAL ENGINEERING. VOL. 39. ISSUE 8. P. 2285 -2295 | 10 | 91% | 19 |
Classes with closest relation at Level 1 |