Detecting urbanization changes using SPOT5

Pattern Recognition Letters

Volumn 27, Issue 4, 2006, Pages 226-233

  Lacroix, V ^a   Idrissa, M ^a   Hincq, A ^a   Bruynseels, H ^b   Swartenbroekx, O ^b  

^a ROYAL MILITARY ACADEMY   (Belgium)

^b National Geographic Institute   (Belgium)

Author keywords

Built up area detection; Cartography; Change detection; SPOT5

Indexed keywords

AUTOMATION; DATA ACQUISITION; DATABASE SYSTEMS; IMAGE PROCESSING; MAPPING; TELECOMMUNICATION NETWORKS;

BUILT-UP AREA DETECTION; CHANGE DETECTION; SPOT5; URBANIZATION;

URBAN PLANNING;

EID: 30344438532     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.08.003     Document Type: Conference Paper

References (15)

1. Baltsavias, E., 2002. Invited paper, object extraction and revision by image analysis using existing geospatial data and knowledge: state-of-the-art and steps towards operational systems, In: Commission VI Mid-Term Symposium, vol. XXXIV, Part 2, Xi'an, China, Int. Arch. Photogramm. Remote Sensing (IAPRS), pp. 13-22.
2. Borghys, D., 2001. Interpretation and Registration of High-Resolution Polarimetric SAR Images. PhD thesis, ENST, Dpt. TSI, Paris.
3. Busch, A., 1998. Revision of built-up areas in a GIS using satellite imagery and GIS data. In: International Archives of Photogrammetry and Remote Sensing, ISPRS Commission IV-GIS Between Visions and Applications WG IV/III.2, vol. 32.
4. I. Gath, and A.B. Gev Unsupervised optimal fuzzy clustering IEEE Trans. Pattern Anal. Mach. Intell. 11 July 1989 773 780
5. Klang, D., 1998. Automatic detection of changes in road data bases using satellite imagery. In: Proc. Internat. Archives of Photogrammetry and Remote Sensing, vol. 32, pp. 293-298.
6. P. Kruizinga, and N. Petkov Nonlinear operator for oriented texture IEEE Trans. Image Process. 8 October 1999 1395 1407
7. V. Lacroix, and M. Acheroy Feature-extraction using the constrained gradient ISPRS J. Photogramm. Remote Sensing 53 April 1998 85 94
8. Lacroix, V., Hincq, A., Mahamadou, I., Bruynseels, H., Swartenbroekx, O., 2004. A visibility test on spot5 images, In: ISPRS 2004, vol. Commission 4, Istanbul, Turkey.
9. Laws, K. 1980. Rapid texture identification. In: Proc. SPIE Conf. Image Processing for Missile Guidance, vol. 28, pp. 376-380.
10. Li, D., Sui, H., Xiao, P., 2002. Automatic change detection of geo-spatial data from imagery. In: Integrated System for Spatial Data Production, Custodian and Decision Support, Xi'an, China, Int. Arch. Photogramm. Remote Sensing (IAPRS).
11. Provost, F.J., Fawcett, T., 1997. Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions. Knowledge Discovery and Data Mining, pp. 43-48.
12. F. Provost, and T. Fawcett Robust classification for imprecise environments Mach. Learn. 42 2001 203 231
13. J.H.T. Randen Filtering for texture classification: a comparative study IEEE Trans. Pattern Anal. Mach. Intell. 21 April 1999 281 310
14. Sakamoto, M., Takasago, Y., Uto, K., Doihara, T., Kakumoto, S., Kosugi, Y., 2004. Automatic detection of damaged area of iran earthquake by high-resolution imagery. In: Proc. IGARSS2004, Alaska.
15. Vosselman, G., de Gunst, M., 1997. Updating road maps by contextual reasoning. In: Proc. 2nd Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona.