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Use of multi-angle high-resolution imagery and 3D information for urban land-cover classification: a case study on Istanbul

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Abstract
The BELSPO-MAMUD project focuses on the use of Remote Sensing data for measuring and modelling urban dynamics. Remote sensing is a wonderful tool to produce long time-series of high resolution maps of sealed surface useful for this purpose. In the urban context of Istanbul, a very dynamic city, recent high resolution satellite images and medium resolution images from the past have been exploited to calibrate and validate a regression-based sub-pixel classification method allowing this production. In this context it’s a tricky task for several reasons: prominent occurrence of shadowed and occluded areas and urban canyons, spectral confusions between urban and non-urban materials at ground and roof levels, moderately hilly relief ... To cope with these difficulties the combined use of three types of data may be helpful: diachronic (i), multi-angle and 3D data. A master multispectral and panchromatic QuickBird image and a panchromatic Ikonos stereopair, all acquired in March 2002, were used in combination with a multispectral and panchromatic Ikonos image of May 2005. A DSM was generated from the Ikonos stereopair and building vector file. It was used for orthorectification, building height estimation and classification procedure. The area covered by the high resolution products was divided in 3 partitions and each one was classified independently. This application demonstrates that recent high resolution land-cover classification produced using multi-date, multi-angle and DSM can be used to produce sealed surface maps from longer timeseries of medium resolution images over large urban areas enabling so the analysis of urban dynamics.
Keywords
sealed surface, classification strategy, remote sensing, urban dynamics, sub-pixel classification, DSM

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Chicago
Binard, Marc, Frederik Tack, Tim Van de Voorde, Yves Cornet, and Frank Canters. 2010. “Use of Multi-angle High-resolution Imagery and 3D Information for Urban Land-cover Classification: a Case Study on Istanbul.” In Urban, 3D, Radar, Thermal Remote Sensing and Developing Countries : Joint SIG Workshop : Book of Proceedings, 61–71. European Association of Remote Sensing Laboratories (EARSeL).
APA
Binard, M., Tack, F., Van de Voorde, T., Cornet, Y., & Canters, F. (2010). Use of multi-angle high-resolution imagery and 3D information for urban land-cover classification: a case study on Istanbul. Urban, 3D, radar, thermal remote sensing and developing countries : joint SIG workshop : book of proceedings (pp. 61–71). Presented at the EARSeL Joint SIG workshop : Urban, 3D, radar, thermal remote sensing and developing countries, European Association of Remote Sensing Laboratories (EARSeL).
Vancouver
1.
Binard M, Tack F, Van de Voorde T, Cornet Y, Canters F. Use of multi-angle high-resolution imagery and 3D information for urban land-cover classification: a case study on Istanbul. Urban, 3D, radar, thermal remote sensing and developing countries : joint SIG workshop : book of proceedings. European Association of Remote Sensing Laboratories (EARSeL); 2010. p. 61–71.
MLA
Binard, Marc, Frederik Tack, Tim Van de Voorde, et al. “Use of Multi-angle High-resolution Imagery and 3D Information for Urban Land-cover Classification: a Case Study on Istanbul.” Urban, 3D, Radar, Thermal Remote Sensing and Developing Countries : Joint SIG Workshop : Book of Proceedings. European Association of Remote Sensing Laboratories (EARSeL), 2010. 61–71. Print.
@inproceedings{1081058,
  abstract     = {The BELSPO-MAMUD project focuses on the use of Remote Sensing data for measuring and modelling urban dynamics. Remote sensing is a wonderful tool to produce long time-series of high resolution maps of sealed surface useful for this purpose. In the urban context of Istanbul, a very dynamic city, recent high resolution satellite images and medium resolution images from the past have been exploited to calibrate and validate a regression-based sub-pixel classification method allowing this production.
In this context it{\textquoteright}s a tricky task for several reasons: prominent occurrence of shadowed and occluded areas and urban canyons, spectral confusions between urban and non-urban materials at ground and roof levels, moderately hilly relief ... To cope with these difficulties the combined use of three types of data may be helpful: diachronic (i), multi-angle and 3D data. A master multispectral and panchromatic QuickBird image and a panchromatic Ikonos stereopair, all acquired in March 2002, were used in combination with a multispectral and panchromatic Ikonos image of May 2005. A DSM was generated from the Ikonos stereopair and building vector file. It was used for orthorectification, building height estimation and classification procedure. The area covered by the high resolution products was divided in 3 partitions and each one was classified independently. This application demonstrates that recent high resolution land-cover classification produced using multi-date, multi-angle and DSM can be used to produce sealed surface maps from longer timeseries of medium resolution images over large urban areas enabling so the analysis of urban dynamics.},
  author       = {Binard, Marc and Tack, Frederik and Van de Voorde, Tim and Cornet, Yves and Canters, Frank },
  booktitle    = {Urban, 3D, radar, thermal remote sensing and developing countries : joint SIG workshop : book of proceedings},
  keyword      = {sealed surface,classification strategy,remote sensing,urban dynamics,sub-pixel classification,DSM},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {61--71},
  publisher    = {European Association of Remote Sensing Laboratories (EARSeL)},
  title        = {Use of multi-angle high-resolution imagery and 3D information for urban land-cover classification: a case study on Istanbul},
  url          = {http://www.earsel.org/workshops/joint-workshop-2010/Proceedings\_Gent2010.pdf},
  year         = {2010},
}