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P‐33: Identification of Simulated Targets as a Function of Target and Background Blur
Author(s) -
Geri George A.,
Akhtar Shama C.,
Winner Jennifer,
Pierce Byron J.
Publication year - 2005
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.2036455
Subject(s) - identification (biology) , artificial intelligence , computer science , function (biology) , computer vision , image (mathematics) , pattern recognition (psychology) , botany , evolutionary biology , biology
Simulated imagery was used to determine the effect of target and background blur on target identification performance. An interaction between these two variables was found, indicating that greater image detail may not improve performance, and hence may not be required in applications for which high‐resolution databases are not readily available.