Data aggregation approach to multisensor radar imaging

4th International Kharkov Symposium "Physics and Engineering of Millimeter and Sub-Millimeter Waves", MSMW 2001 - Symposium Proceedings

Volumn 1, Issue , 2001, Pages 247-249

  Shkvarko, Y ^a   Jaime Rivas, R ^a  

^a UNIVERSITY OF GUANAJUATO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

MILLIMETER WAVES; SIGNAL TO NOISE RATIO; SUBMILLIMETER WAVES;

CALIBRATION INFORMATION; DATA AGGREGATION; MULTI SENSOR; NOISE INTENSITIES; NOISE LEVELS; OPTIMAL DATA; OPTIMIZATION METHOD;

RADAR IMAGING;

EID: 84966552839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSMW.2001.946813     Document Type: Conference Paper

References (4)

1. Yu. P. Pytyev, "Linear Problems of Image Restoration and Enhancement", In "Mathematical Methods for Earth Resources Investigation from Space", (in Russian), Nauka, Moscow, pp.91-120, 1984.
2. D.L. Hall, "Mathematical Techniques in Multisensor Data Fusion", Artech House, Boston-London, 1992.
3. Yu. V. Shkvarko, R. Jaime-Rivas, S. Avila-Garcia, and S. Medvedev, "Neural Network with Data-Based Control of Parameters for Environmental Imagery", IASTED Int. Symp. On Control and Applications, Vol. CA 2000, Cancun, Mexico, May 2000, pp. 182-186, 2000.
4. Yu. V. Shkvarko, R. Jaime-Rivas, and V. Ayala, "Experiment Design-Based Regularization Technique for Radar Imagery", IEEE Int. Symp. on AP-S, July 2000, Vol. 4, Salt Lake City, USA, July 2000, pp. 1936-1939, 2000.