Reliably estimating the speckle noise from SAR data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 1999, Pages 1546-1548

  Aiazzi, Bruno ^a   Alparone, Luciano ^a   Baronti, Stefano ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; COMPUTER SIMULATION; CORRELATION METHODS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SPURIOUS SIGNAL NOISE; SYNTHETIC APERTURE RADAR;

SPATIAL CORRELATION COEFFICIENT; SPECKLE NOISE;

RADAR IMAGING;

EID: 0033318682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J.-S. Lee, I. Jurkevich, P. Dewaele, P. Wambacq, and A. Oosterlinck, “Speckle filtering of synthetic aperture radar images: a review,” Remote Sensing Reviews, vol.8, pp. 313-340, 1994.
2. D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, “Adaptive noise smoothing filter for images with signal dependent noise,” IEEE Trans. Pattern Anal. Machine Intell., vol. 7, no. 2, pp. 165-177, 1985.
3. B. Aiazzi, L. Alparone, and S. Baronti, “Multiresolution local-statistics speckle filtering based on a ratio Laplacian pyramid,” IEEE Trans. Geosci. Remote Sensing, vol. 36, no. 5, MI, pp. 1466-1476, 1998.
4. L. Alparone, S. Baronti, and A. Garzelli, ‘‘Joint change analysis and speckle filtering of multitemporal ERS- 1 imagery,” in Proc. IGARSS’99.
5. J. W. Goodman, “Some fundamental properties of speckle,”J. Opt. Soc. A. vol. 66, pp. 1145-1 150, 1976.