Radar image fusion by multiscale Kalman filtering

Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000

Volumn 2, Issue , 2000, Pages

  Simone, G ^a   Morabito, F C ^a   Farina, A ^b  

^a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

^b ALENIA SPAZIO   (Italy)

Author keywords

Hough Transform; Multiresolution Signal Representation; Multiscale Kalinan Filter; Spaceborne Imaging Radar; Synthetic Aperture Radar

Indexed keywords

HOUGH TRANSFORMS; IMAGE FUSION; INFORMATION FUSION; KALMAN FILTERS; SYNTHETIC APERTURE RADAR;

AIRBORNE SYNTHETIC APERTURE RADARS; DIFFERENT RESOLUTIONS; IMAGING RADAR; INPUT IMAGE; KALMAN-FILTERING; MULTISCALE KALINAN FILTER; SIGNAL REPRESENTATIONS; SPACE-BORNE;

RADAR IMAGING;

EID: 84901399928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFIC.2000.859858     Document Type: Conference Paper

References (17)

1. K.C. Chou, A.S. Willsky, A. Benveniste, Multiscale Recursive Estimation, Data Fusion, and Regularization, IEEE Trans, on Automatic Control, Vol.39, No.3, March 1994, pp.464-477;
2. M. Costantini, A. Farina, F. Zirilli, The Fusion of Different SAR Images, Proc. of the IEEE, Vol.85, No.l, January 1997, pp.139-146;
3. S.B. Serpico, F. Roli, Classification of Multisensor Remote-Sensing Images by structured Neural Networks, IEEE Trans, on Geoscience and Remote Sensing, Vol.33, No.3, May 1995, pp.562-578;
4. A. Farina, M. Costantini, F. Zirilli, Fusion of Radar Images: Techniques and Applications, Military Technology, June 1996, pp. 34-40;
5. V. Clement, G. Giraudon, S. Houzelle, F. Sandakly, Interpretation of Remotely Sensed Images in a Context of Multisensor Fusion using a Multispecialist Architecture, IEEE Trans, on Geoscience and Remote Sensing, Vol.31, No.4, July 1993;
6. F.W. Leberl, Radargrammetric Image Processing, Artech House, 1990;
7. R. Baxter, M. Seibert, Synthetic Aperture Radar Image Coding, Lincoln Laboratory Journal, Vol.11, No.2, 1998, pp.121-157;
8. A. Farina, F.A. Studer, Radar Data Processing, Research Studies Press LTD, John Wiley & Sons, 1984;
9. AIRSAR Homepage, http://airsar.jpl.nasa.gov, Jet Propulsion Laboratory;
10. SIR-C Homepage, http://www.jpl.nasa.gov/ /radar/sircxsar/, Jet Propulsion Laboratory;
11. M. Basseville, A. Benveniste, K.C. Chou, S.A. Golden, R. Nikoukhah, A.S. Willsky, Modeling and Estimation of Multiresolution Stochastic Processes, IEEE Trans, on Information Theory, Vol.38, No.2, March 1992, pp.766-784;
12. P. Kumar, A Multiple Scale State-Space Model for Characterizing Subgrid Scale Variability of Near-Surface Soil Moisture, IEEE Trans, on Geoscience and Remote Sensing, Vol.37, No.1, January 1999, pp.182-197;
13. R. Wilson, Multiresolution Image Modelling, Electronics & Communication Engineering Journal, April 1997, pp.90-96;
14. P.W. Fieguth, W.C. Karl, A.S. Willsky, C. Wunsch, Multiresolution Optimal Interpolation and Statistical Analysis of TOPEX/POSEIDON Satellite Altimetry, IEEE Trans, on Geoscience and Remote Sensing, Vol.33, No.2, March 1995, pp.280-292;
15. A. Gelb, J. Kasper, R.A. Nash, et al., Applied Optimal Estimation, The M.I.T. Press, 1979;
16. A. Signorini, A. Farina, G. Zappa, Application of Multiscale Estimation Algorithm to SAR Images Fusion, Proc. of International Symposium on Radar, IRS98, Munich, September 15-17, 1998, pp.1341-1352;
17. F.C. Morabito, G. Simone, A. Farina, Automated Lineament Detection in SAR Images based on the joint use of Wavelet and Hough Transforms, Proc. of 5'h International Conference on Radar Systems, Brest, May 17-21, 1999, pp.1.2.13-18.