Mapping of built-up area density from satellite images using morphological granulometries

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 94-99

  Kemmouche, A ^a   Khedam, R ^a   Mering, C ^b  

^a UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Analysis; Classification; Image; Mapping; Mathematics; Urban

Indexed keywords

CLASSIFICATION (OF INFORMATION); MAPPING; MATHEMATICAL MORPHOLOGY; MATHEMATICAL TECHNIQUES;

ANALYSIS; BINARY MATHEMATICAL MORPHOLOGIES; GRANULOMETRIC ANALYSIS; IMAGE; SPATIAL AND TEMPORAL CHANGES; SPATIAL ORGANIZATION; SUPERVISED CLASSIFICATION; URBAN;

REMOTE SENSING;

EID: 84911449554     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Besag, J., 1986. On the Statistical Analysis of Dirty Pictures. Journal Royal of Statistics: Soc. B, 48, 3, pp. 259-302.
2. Busch A., 1998. Revision of built-up areas in a GIS using satellite imagery and GIS data. In: D. Fritsh, M. English & M. Sester, eds, IAPRS, Vol. 32/4, ISPRS Commission IV Symposium on GIS - Between Visions and Applications, Stuttgart, Germany.
3. Chen Y., Doughety E. R., 1992. Texture classification by grayscale morphological granulometries. Visual Communications and Image Processing, SPIE Vol. 1818.
4. Diday E., 1971. La méthode des nuées Dynamiques. Rev. Stat. Apll., Vol. 19, No2, pp. 19-34.
5. Dougherty, E. R., and Pelz, J. B., Sand, F., Lent, A., 1992. Morphological image segmentation by local granulometries size distributions. Journal of Electronic Imaging, 1(1).
6. Geman, S., Geman, D., 1984. Stochastic Relaxation, Gibbs Distributions, and the Bayesain Restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6, 6, pp. 721-741.
7. Kemmouche A. Mering C., Sansal B. and Dewolf Y., 2004. Macro-texture Mapping from satellites images by morphological granulometries: Application to vegetation density mapping in arid and semi-arid regions. International Journal of Remote Sensing, 25(23), pp. 5319-5335.
8. th 2001
9. Matheron, G., 1967. Eléments pour une Théorie des milieux poreux. Masson, Paris.
10. Matheron, G., 1975. Random Sets and Integral Geometry. Wiley, New York.
11. Matsuyama T., Miura S., Nagao M., 1983. Structural Analysis of natural textures by Fourier Transformation, CVGIP, 24, pp. 347-362.
12. Philipp S., Smadja M., 1994. Detection of surface specific points by local parallel processing of discrete terrain elevation data, CVGIP, Vol. 4, pp. 375-387.
13. Pieczynski W., 1989. Estiamtion of context in random fields, Journal of Applied Statistics, Vol. 16, no. 2, pp. 283-289.
14. Richards J., A., 1986. Remote sensing digital image analysis. Springer Verlag, Berlin, 281 p.
15. Schitad Solberg A. H., 1999. Contextual Data Fusion Applied to Forest Map Revision. IEEE, Trans. Geos. Remote Sensing, Vol. 37, no. 3, pp. 1234-1243.
16. Schistad Solberg, A., H., Taxt, T., A., Jain, K., 1996. A Markov Random Field Model for Classification of Multisource Satellite Imagery. IEEE, Trans. Geos. Remote Sensing, Vol. 34, no. 1, pp. 100-112.
17. Serra, J., 1982. Image Analysis and Mathematical Morphology. Academic Press, London, 610p.
18. nd ed. Springer-Verlag, Berlin, Germany.
19. Wood, 1996. The geomorphological characterisation of Digital Elevation Model, Thèse de doctorat, Université de Leicester (UK).
20. Zha Y., Gao J., Ni S., 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sensing, Vol. 24, no. 3, pp. 583-594.
21. Zhang Q., Wang J., Peng X., Gong P., Shi P., 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. Int J Remote Sensing, Vol. 23, no. 15, pp. 3057-3078.