Image enhancement and speckle reduction of full polarimetric SAR data by Gaussian Markov random field

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 40, Issue 1W3, 2013, Pages 263-267

  Mahdian, M ^a   Motagh, M ^b   Akbari, V ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^c UNIVERSITY OF TROMSØ   (Norway)

Author keywords

Contextual analysis; Markov Random Field; Pixel wise analysis; Polarimetric SAR; Speckle reduction

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MARKOV PROCESSES; PIXELS; POLARIMETERS; RADAR IMAGING; SPECKLE; SYNTHETIC APERTURE RADAR;

CONTEXTUAL ANALYSIS; CONTEXTUAL INFORMATION; GAUSSIAN MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; PIXEL-WISE ANALYSE; POLARIMETRIC SAR; POLARIMETRIC SAR DATA; POLARIMETRIC SYNTHETIC APERTURE RADAR DATA; SAR IMAGERY; SPECKLE REDUCTION;

PROBABILITY DENSITY FUNCTION;

EID: 84924341202     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-xl-1-w3-263-2013     Document Type: Conference Paper

References (11)

1. Deng, Huawu, and David A. Clausi. 2004. "Unsupervised Image Segmentation Using a Simple MRF Model with a New Implementation Scheme." Pattern Recognition 37(12):2323-2335.
2. Dierking, Wolfgang, and Thomas Busche. 2006. "Sea Ice Monitoring by L-band SAR: An Assessment Based on Literature and Comparisons of JERS-1 and ERS-1 Imagery." Geoscience and Remote Sensing, IEEE Transactions On 44(4):957-970.
3. Espinoza Molina, Daniela, Duvsan Gleich, and Mihai Datcu. 2012. "Evaluation of Bayesian Despeckling and Texture Extraction Methods Based on Gauss-Markov and Auto-Binomial Gibbs Random Fields: Application to TerraSAR-X Data." Geoscience and Remote Sensing, IEEE Transactions On 50(5):2001-2025.
4. Lee, J. S., and E. Pottier. 2009. Polarimetric Radar Imaging: From Basics to Applications. Vol. 142. CRC.
5. Lee, Jong-Sen. 1981. "Speckle Analysis and Smoothing of Synthetic Aperture Radar Images." Computer Graphics and Image Processing 17(1):24-32.
6. Levada, Alexandre LM, Nelson DA Mascarenhas, and Alberto Tannús. 2008. "A Novel Pseudo-likelihood Equation for Potts MRF Model Parameter Estimation in Image Analysis." In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference On, 1828-1831.
7. Moser, G., and S. B. Serpico. 2006. "Generalized Minimumerror Thresholding for Unsupervised Change Detection from SAR Amplitude Imagery." Geoscience and Remote Sensing, IEEE Transactions On 44(10):2972-2982.
8. Oliver, Chris, and Shaun Quegan. 2004. Understanding Synthetic Aperture Radar Images. SciTech Publishing.
9. Tello Alonso, Marivi, Carlos López-Martínez, Jordi J. Mallorquí, and Philippe Salembier. 2011. "Edge Enhancement Algorithm Based on the Wavelet Transform for Automatic Edge Detection in SAR Images." Geoscience and Remote Sensing, IEEE Transactions On 49(1):222-235.
10. Tison, Céline, J.-M. Nicolas, Florence Tupin, and Henri Maître. 2004. "A New Statistical Model for Markovian Classification of Urban Areas in High-resolution SAR Images." Geoscience and Remote Sensing, IEEE Transactions On 42(10):2046-2057.
11. Smith, J., 1987a. Close range photogrammetry for analyzing distressed trees. Photogrammetria, 42(1), pp. 47-56.