Urban area detection in SAR imagery using a new speckle reduction technique and Markov Random Field texture classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2000, Pages 636-638

  Duskunovic, Ivana ^a   Heene, Gunther ^a   Philips, Wilfried ^a   Bruyland, Ignace ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV RANDOM FIELD TEXTURE CLASSIFICATIONS; SPECKLE REDUCTION METHOD;

ELECTROMAGNETIC WAVE BACKSCATTERING; IMAGE ANALYSIS; IMAGE QUALITY; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; RADAR IMAGING; RANDOM PROCESSES; SENSITIVITY ANALYSIS; SIGNAL FILTERING AND PREDICTION; SPECKLE; SPURIOUS SIGNAL NOISE; SYNTHETIC APERTURE RADAR;

REMOTE SENSING;

EID: 0034545923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. S. Gautama and G. Heene, "Markov random fields as a sar texture descriptor for the delineation of urban areas," in Proceedings of the IEEE Benelux Signal Processing Symposium, pp. 99-103, Mar. 1998.
2. S. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. on Pattem Analysis and Machine Intelligence, vol. 11, pp. 674-693, July 1989.
3. E Russo, "Adaptive image smoothing using fuzzy operator," in Proceedings of the 1995 IEEE Workshop on Nonlinear Signal and Image Processing, 1995.
4. R. Chellappa and S. Chatterjee, "Classification of textures using gaussian markov random fields," IEEE Trans. on Acoustics, Speech and Signal Proc., vol. 33, pp. 959-963, Aug. 1985.