Details

Title

Change Detection for SAR Imagery Using Connected Components Analysis

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2012

Volume

vol. 58

Issue

No 2

Authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2012

Identifier

DOI: 10.2478/v10177-012-0015-5 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

Source

International Journal of Electronics and Telecommunications; 2012; vol. 58; No 2

References

Al-Khudhairy D. (2009), The security dimension of gmes network of excellence gmoss: A european think tank for eo technologies in support of security issues, Remote Sensing from Space, Springer Science, II, 49. ; "Gmes security service as developed by g-mosaic - product and service portfolio," 2010 <a target="_blank" href='http://www.gmes.info'>http://www.gmes.info</a> ; Törmä M. (2007), Change detection using spatial data - problems and challenges, null, 1947. ; Lee J. (1986), Speckle suppression and analysis for synthetic aperture radar images, Optical Engineering, 636. ; Kuan D. (1985), Adaptive noise smoothing filter for images with signal- dependent noise, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2, 165, doi.org/10.1109/TPAMI.1985.4767641 ; Lopes A. (1990), Adaptive speckle filters and scene heterogeneity, IEEE Transaction on Geoscience and Remote Sensing, 28, 6, 992, doi.org/10.1109/36.62623 ; Bazi Y. (2005), An unsupervised approach based on the generalized gaussian model to automatic change detection in multitemporal sar images, IEEE Transaction on Geoscience and Remote Sensing. ; Rignot E. (1993), Change detection techniques for ers-1 sar data, IEEE Transaction on Geoscience and Remote Sensing, 31, 4, 896, doi.org/10.1109/36.239913
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