Target-driven extraction of built-up land changes from high-resolution imagery

Journal of Applied Remote Sensing

Volumn 8, Issue 1, 2014, Pages

  Zhang, Ying ^a,b   Guindon, Bert ^a   Li, Xinwu ^b   Lantz, Nicholas ^a   Sun, Zhongchang ^b  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

change detection; high spatial resolution; natural land conversion; urban land classification

Indexed keywords

EXTRACTION; PIXELS; REMOTE SENSING;

CHANGE DETECTION; DETECTION AND QUANTIFICATIONS; ENVIRONMENTAL QUALITY; HIGH RESOLUTION IMAGERY; HIGH SPATIAL RESOLUTION; LAND CONVERSION; OVERALL ACCURACIES; RADIOMETRIC SIGNATURES;

URBAN GROWTH;

EID: 84897795243     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.084594     Document Type: Article

References (27)

1. J. R. Jensen and D. C. Cowen, "Remote sensing of urban/suburban infrastructure and socioeconomic attributes," Photogramm. Eng. Remote Sens. 65, 611-622 (1999), http://dx.doi.org/10.1002/9780470979587.ch22. (Pubitemid 29245345)
2. T. Bunting and P. Filion, Eds., Canadian Cities in Transition. p. 576, Oxford University Press, New York (2000).
3. S. Angel, S. C. Sheppard, and D. L. Civco, The Dynamics of Global Urban Expansion, p. 200, Transport and Urban Development Department, World Bank (2005).
4. Y. Zhang, B. Guindon, and K. Sun, "The concepts and application of the Canadian urban land use survey," Can. J. Remote Sens. 36(3), 224-235 (2010), http://dx.doi.org/10.5589/m10-043.
5. Y. Zhang, B. Guindon, and K. Sun, "Measuring the trajectories of urban land use change: assessment for major Canadian urban areas in 1966-2001," J. Land Use Sci. 5, 217-235 (2010), http://dx.doi.org/10.1080/ 1747423X.2010.500684.
6. H. Taubenboeck et al., "Monitoring urbanization in mega cities from space," Remote Sens. Environ. 117, 162-176 (2012), http://dx.doi.org/10. 1016/j.rse.2011.09.015.
7. H. Taubenboeck et al., "Pixel-based classification algorithm for mapping urban footprints from radar data: a case study for RADARSAT-2," Can. J. Remote Sens. 38, 211-222 (2012), http://dx.doi.org/10.5589/m11-061.
8. J. E. Vogelmann et al., "Completion of the 1990's national land cover data set for the conterminous United States," Photogramm. Eng. Remote Sens. 67, 650-662 (2001).
9. C. Homer et al., "Completion of the 2001 national land cover database for the conterminous United States," Photogramm. Eng. Remote Sens. 73, 337-341 (2007). (Pubitemid 46493665)
10. L. Moller-Jensen, "Classification of urban land cover based on expert systems, object models and texture," Comput. Environ. Urban Syst. 21(3-4), 291-302 (1997), http://dx.doi.org/10.1016/S0198-9715(97)01004-1.
11. S. Barr and M. Barnsley, "Reducing structural clutter in land cover classifications of high spatial resolution remotely-sensed images for urban land use mapping," Comput. Geosci. 26(4), 433-449 (2000), http://dx.doi.org/10. 1016/S0098-3004(99)00123-5. (Pubitemid 30228969)
12. A. Puissant, J. Hirsch, and C. Weber, "The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery," Int. J. Remote Sens. 26(4), 183-196 (2005), http://dx.doi.org/10.1080/01431160512331316838.
13. M. Herold, J. Scepan, and K. C. Clarke, "The use of remote sensing and landscape metrics to describe structures and changes in urban land uses," Environ. Plann. A 34(8), 1443-1458 (2002), http://dx.doi.org/10. 1068/a3496. (Pubitemid 35029063)
14. D. Geneletti and B. G. H. Gorte, "A method for object-oriented land cover classification combining Landsat TM data and aerial photographs," Int. J. Remote Sens. 24(6), 1273-1286 (2003), http://dx.doi.org/10.1080/ 01431160210144499. (Pubitemid 36447160)
15. A. K. Shackelford, "A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sens. 41(10), 2354-2363 (2003), http://dx.doi.org/10.1109/TGRS.2003.815972.
16. B. N. Jyothi, G. R. Babu, and I. V. M. Krishna, "Object oriented and multi-scale image analysis: strengths, weaknesses, opportunities, and threats-a review," J. Comput. Sci. 4(9), 706-712 (2008), http://dx.doi.org/10.3844/ jcssp.2008.706.712.
17. H. Mayer, "Object extraction in photogrammetric computer vision," ISPRS J. Photogramm. Remote Sens. 63(2), 213-222 (2008), http://dx.doi.org/10.1016/j.isprsjprs.2007.08.008. (Pubitemid 351312875)
18. T. Blaschke, "Object based image analysis for remote sensing," ISPRS J. Photogramm. Remote Sens. 65(1), 2-16 (2010), http://dx.doi.org/10.1016/ j.isprsjprs.2009.06.004.
19. D.-S. Lu, S. Hetrick, and E. Moran, "Land cover classification in a complex urban-rural landscape with Quickbird imagery," Photogramm. Eng. Remote Sens. 76(1), 1159-1168 (2010), http://dx.doi.org/10.14358/PERS.76.10. 1159.
20. S. W. Myint et al., "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sens. Environ. 115(5), 1145-1161 (2011), http://dx.doi.org/10.1016/j.rse.2010. 12.017.
21. S. Giada et al., "Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania," Int. J. Remote Sens. 24(22), 4251-4266 (2003), http://dx.doi.org/10.1080/0143116021000035021. (Pubitemid 37507360)
22. X.-Y. Jin and C. H. Davis, "An integrated system for automatic road mapping from highresolution multi-spectral satellite imagery by information fusion," Inf. Fusion 6(4), 257-273 (2005), http://dx.doi.org/10.1016/j. inffus.2004.06.003. (Pubitemid 40537886)
23. H. Xu, "Extraction of urban built-up land features from Landsat imagery using a thematicoriented index combination technique," Photogramm. Eng. Remote Sens. 73(12), 1381-1391 (2007), http://dx.doi.org/10.14358/PERS.73. 12.1381. (Pubitemid 350210103)
24. Y. Zhang and B. Guindon, "Multi-spectral analysis for man-made surface extraction from RapidEye and SPOT5," Can. J. Remote Sens. 38(2), 1-17 (2012), http://dx.doi.org/10.5589/m12-032.
25. R. D. Johnson and E. S. Kasischke, "Change vector analysis: a technique for the multispectral monitoring of land cover and condition," Int. J. Remote Sens. 19(3), 411-426 (1998), http://dx.doi.org/10.1080/ 014311698216062.
26. J. Chen et al. "Land use land cover change detection using improved change-vector analysis," Photogramm. Eng. Remote Sens. 69(4), 369-379 (2003), http://dx.doi.org/10.14358/PERS.69.4.369. (Pubitemid 36400421)
27. D. Lu et al., "Change detection techniques," Int. J. Remote Sens. 25(12), 2365-2407 (2004), http://dx.doi.org/10.1080/0143116031000139863. (Pubitemid 38973496)