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P‐30: Target Identification on Simulated Terrain Imagery Varying in Resolution
Author(s) -
Akhtar Shama C.,
Geri George A.,
Gaska James P.,
Pierce Byron J.
Publication year - 2006
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 - 10.1889/1.2433487
Subject(s) - terrain , metric (unit) , remote sensing , identification (biology) , artificial intelligence , computer vision , resolution (logic) , image resolution , computer science , satellite , gaussian , gaussian blur , pattern recognition (psychology) , image (mathematics) , geology , geography , image processing , physics , image restoration , cartography , engineering , operations management , botany , quantum mechanics , astronomy , biology
Air‐to‐ground target identification was found to improve with decreases in background resolution as defined by a satellite‐imaging metric. This metric was then compared to a more conventional measure of target and image spatial resolution based on gaussian blur.