An approach to unsupervised change detection in multitemporal SAR images based on the generalized Gaussian distribution

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2004, Pages 1402-1405

  Bazi, Yakoub ^a   Bruzzone, Lorenzo ^a   Melgani, Fand ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Gaussian distribution; Multitemporal analysis; SAR images

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; DECISION MAKING; IMAGE PROCESSING; ITERATIVE METHODS; POLARIZATION; REMOTE SENSING; SET THEORY; SPECKLE;

CHANGE DETECTION; GENERALIZED GAUSSIAN DISTRIBUTION; MULTITEMPORAL ANALYSIS; SAR IMAGES; THRESHOLDING;

SYNTHETIC APERTURE RADAR;

EID: 15944423969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. L. Bruzzone, D. Fernández Prieto, "Automatic analysis of the difference image for unsupervised change detection," IEEE Trans. Geosci. Remote Sens., vol. 38, pp. 1171-1182, 2000.
2. L. Bruzzone, M. Marconcini, U. Wegmuller, A. Weiseman, "An advanced system for automatic classification of multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, pp. 1321-1334, 2004.
3. E.J.M Rignot and J.J. Van Zyl, "Change detection techniques for ERS-1 SAR data," IEEE Trans. Geosci. Remote Sens., vol. 31, pp. 896-906, 1993.
4. J. Kittler, J. Illingworth, "Minimum error thresholding," Pattern Recognition, vol. 19, pp. 41-47, 1986.
5. Y. Bazi, L. Bruzzone, and F. Melgani, "An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images," submitted to the IEEE Trans. Geosci. Remote Sens. Journal.