Creating virtual sensors using learning based super resolution and data fusion

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2009, Pages

  Said, Eyad Haj ^a   Homaifar, Abdollah ^b   Grossberg, Michael ^c  

^a University of Kalamoon   (Syrian Arab Republic)

^b NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^c CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

1KM RESOLUTION; GROUND TRUTH DATA; HIGHER RESOLUTION; LEARNING-BASED SUPER-RESOLUTION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MULTI-SENSOR DATA; PHYSICAL SENSORS; POSTERIORI; PROOF OF CONCEPT; ROOT MEAN SQUARE ERRORS; SPACE-BASED SENSORS; STATISTICAL LEARNING; TARGET SENSORS; VIRTUAL SENSOR; VIRTUAL TARGET;

BAYESIAN NETWORKS; INFERENCE ENGINES; LEARNING ALGORITHMS; PROBABILITY DENSITY FUNCTION; RADIOMETERS; SECURITY OF DATA; STATISTICAL TESTS; TARGETS;

SENSORS;

EID: 70349132714     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2009.4839483     Document Type: Conference Paper

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