Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images.
Słowa kluczowe
Rocznik
Tom
Strony
111--116
Opis fizyczny
Bibliogr. 8 poz., il.
Twórcy
autor
autor
- Institute of Electronic Systems, Warsaw University of Technology, ul. Nowowiejska 15/19, Warsaw, Poland, agromek@ise.pw.edu.pl
Bibliografia
- [1] D. Al-Khudhairy, S. Schneiderbauer, and H. J. Lotz-Iwen, “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, vol. II, pp. 49-58, 2009.
- [2] “Gmes security service as developed by g-mosaic - product and service portfolio,” 2010, http://www.gmes.info.
- [3] M. Törmä, P. Härmä, and E. Järvenpä, “Change detection using spatial data - problems and challenges,” Geoscience and Remote Sensing Symposium, IGARSS 2007, IEEE International, pp. 1947-1950, 2007.
- [4] J. S. Lee, “Speckle suppression and analysis for synthetic aperture radar images,” Optical Engineering, pp. 636-643, 1986.
- [5] D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, “Adaptive noise smoothing filter for images with signal- dependent noise,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-2, pp. 165-177, 1985.
- [6] A. Lopes, R. Touzi, and E. Nezry, “Adaptive speckle filters and scene heterogeneity,” IEEE Transaction on Geoscience and Remote Sensing, vol. 28, no. 6, pp. 992-1000, Nov. 1990.
- [7] Y. Bazi, L. Bruzzone, and F. Melgani, “An unsupervised approach based on the generalized gaussian model to automatic change detection in multitemporal sar images,” IEEE Transaction on Geoscience and Remote Sensing, 2005, in press.
- [8] E. Rignot and J. van Zyl, “Change detection techniques for ers-1 sar data,” IEEE Transaction on Geoscience and Remote Sensing, vol. 31, no. 4, pp. 896-906, 1993.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0053-0014