Urban detection, delimitation and morphology: Comparative analysis of selective "megacities"

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

Volumn 39, Issue , 2012, Pages 381-386

  Alhaddad, B ^a   Arellano, B E ^a   Roca, J ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Artificialized Land; Land Use; Landsat; Mega Cities; Urban Sprawl

Indexed keywords

COMPLEX NETWORKS; ECONOMICS; LAND USE; LANDFORMS; MORPHOLOGY; PHOTOGRAMMETRY; POPULATION STATISTICS; REMOTE SENSING; SPACE OPTICS; STRUCTURE (COMPOSITION);

COMPARATIVE ANALYSIS; ECONOMIC ACTIVITIES; HETEROGENEOUS LANDSCAPES; LANDSAT; MEGACITIES; POPULATION DENSITIES; REMOTE SENSING INSTRUMENTS; URBAN SPRAWL;

URBAN GROWTH;

EID: 84924409252     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Alhaddad, B, Burns, M & Roca, J, 2007. Texture Analysis for Correcting and Detecting Classification Structures in Urban Land Uses. Metropolitan Area Case Study - Spain. Urban Remote Sensing Event. Paris, 2007.
2. Alhaddad, B., Roca, J., Burns, M., 2009. Monitoring urban sprawl from historical aerial photographs and satellite imagery using texture analysis and mathematical morphology approaches. 49th European Congress of the Regional Science Association International - 25th to 29th of August 2009 - Lodz, Poland ". 2009, p.1-9.
3. Atkinson, P.E. & Tate, N.J., 1999. Techniques for the Analysis of Spatial Data. In Advances in Remote Sensing and GIS Analysis, Atkinson, P.E. and N.J. Tate (Eds.). John Wiley and Sons, Chichester, pp: 1-7.62 Campbell.
4. Avery, T.A. & Berlin, G.L. 1992. Fundamentals of Remote Sensing and Air Photo Interpretation. Prentice Hall. Chapter 6.
5. Curran, P.J. 1985. Principles of Remote Sensing. Longman Group Limited, London.
6. Fulton, W., Pendall, R., Nguyen, M. & Harrison, A., 2001. Who Sprawls Most? How Growth Patterns Differ Across the U.S. Washington, D.C., Center on Urban & Metropolitan Policy, The Brookings Institution, Survey Series.
7. Galster, G., Hanson, R. & Ratcliffe, M. R., 2001. Wrestling sprawl to the ground: Defining and measuring an elusive concept. Housing Policy Debate, 12(4): pp. 681-717.
8. GLOBUS. http://www-cpsv.upc.es/GLOBUS.
9. Herold, M., Liu X. & Clarke, K.C., 2003. Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering and Remote Sensing, 69, 9, pp. 991-1001.
10. Morgan, J. L., Gergel. S.E., & Coops, N. C., 2010. Aerial Photography: A Rapidly Evolving Tool for Ecological Management. BioScience, 60(1): pp. 47-59.
11. Ojala, T. & Pietikäinen, M., 2004. Machine Vision and Media Processing Unit. University of Oulu, Finland.
12. Tuceryan, M. & Jain, A.K., 1998. The Handbook of Pattern Recognition and Computer Vision (2nd Edition), by C. H. Chen, L. F. Pau, P. S. P. Wang (eds.), pp. 207-248, World Scientific Publishing Co.
13. Wang, X. & Hanson, A. R., 2001. Surface texture and microstructure extraction from multiple aerial images. Computer Vision and Image Understanding, 83, pp. 1-37.
14. Yang, 2009, Detection of Seagrass Distribution Changes from 1991 to 2006 in Xincun Bay, Hainan, with Satellite Remote Sensing. Sensors, 9, pp. 830-844.
15. Zhang, Y., 1999. Optimisation of building detection in satellite images by combining multispectral classification and texture filtering. ISPRS Journal of Photogrammetry & Remote Sensing, 54 pp. 50-60.