Abstract
In the framework of the European Community programme Training and Mobility for Researchers, the project Analysis and Segmentation of Remote-Sensing Images for Land-Cover mapping has been proposed and approved. This article provides some insight in the role of pattern recognition and image processing techniques in the European remote-sensing community and gives and overview of the project's objectives and results to date.
Chapter PDF
Similar content being viewed by others
Keywords
- Synthetic Aperture Radar
- Markov Random Field
- Synthetic Aperture Radar Image
- Synthetic Aperture Radar Data
- Markov Random
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
R. A. Schowengerdt (1997). Remote Sensing-Models and methods for image processing. Academic Press, 1997
Environment and Climate 1994-1998 Work programme, European Commission, 1994.
P.C. Smits and S.G. Dellepiane, “Synthetic Aperture Radar image segmentation by a detail preserving Markov Random Field appraoch,” IEEE Transactions on Geoscience and Remote Sensing (in press, scheduled for July 1997).
P.C. Smits and S. Dellepiane, “Markov Random Field based image segmentation with adaptive neighborhoods to the detection of fine structures in SAR data,” Int. Geoscience and Remote Sensing Symposium, Lincoln, May 1996, pp. 714–716.
P.C. Smits and S. Dellepiane, “Information fusion in a Markov Random Field based image segmentation approach using adaptive neighbourhoods,” Int. Conf. on Pattern Recognition, Vienna, August 1996, pp. 570–575.
P.C. Smits and S. Dellepiane, “Data fusion in a Markov Random Field based image segmentation approach,” European Symposium on Satellite Remote Sensing, Toarmina, Italy, 23–27 Sept., 1996, pp. 85–95.
P.C. Smits, A. Trucco, G. Bo, G. Vernazza, “Iterative model reconstruction for phase unwrapping,” Proc. of the third ERS Scientific Symposium, Florence, Italy, 17–20 March 1997 (in press).
P.C. Smits and S. Dellepiane, “An irregular MRF region label model for multi-channel image segmentation,” Proc. of the Conference Pattern Recognition in Practice V, Vlieland, Holland, 4–6 June, 1997 (in press).
P.C. Smits and S. Dellepiane, “Discontinuity adaptive MRF model for remote-sensing image analysis,” Proc. of the 1997 Int. Geoscience and Remote Sensing Symposium (IGARSS'97), Singapore, Aug. 1997 (in press).
P.C. Smits, R. Vaccaro, and S. Dellepiane, “Automated hierarchical classification of SAR images,” Proc. of the 1997 Int. Geoscience and Remote Sensing Symposium (IGARSS'97), Singapore, Aug. 1997 (in press).
P.C. Smits, A. Martuccelli, F. Giorgini, M. Petrou, “SAR image interpretation based on hidden Markov mesh random field models,” Proc. of the 1997 Int. Geoscience and Remote Sensing Symposium (IGARSS'97), Singapore, Aug. 1997 (in press).
P.C. Smits, S.G. Dellepiane, and G. Vernazza, “Discontinuity adaptive MRF model for Synthetic Aperture Radar image analysis,” Proc. 9th International Conference on Image Analysis and Processing; 17-19 September 1997, Florence, Italy (accepted for publication).
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Smits, P.C., Serpico, S.B. (1997). Analysis and segmentation of remote-sensing images for land-cover mapping. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_191
Download citation
DOI: https://doi.org/10.1007/3-540-63508-4_191
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63508-6
Online ISBN: 978-3-540-69586-8
eBook Packages: Springer Book Archive