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RADARSAT SAR data for landuse/land-cover classification in the rural-urban fringe of the greater Toronto area
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics (closed 20110301).
2005 (English)In: Proceedings 2005: The 8th AGILE International Conference on Geographic Information Science, AGILE 2005, 2005Conference paper, Published paper (Refereed)
Abstract [en]

This research investigates the capability of the multitemporal RADARSAT Fine-Beam C-HH SAR imagery for extracting landuse/land-cover information in the rural-urban fringe of the Greater Toronto Area (GTA) using various image processing techniques and classification algorithms. Five-date RADARSAT fine-beam SAR images were acquired during May to August in 2002. The major landuse/land-cover classes were high-density built-up areas, low-density built-up areas, roads, forests, parks, golf courses, water and three types of agricultural lands. These ten classes were chosen to characterize the complex landuse/land-cover types in the rural-urban fringe of the GTA. The results demonstrated that, for identifying landuse/land-cover classes, five-date raw SAR imagery yielded very poor result due to speckles. The best result was achieved for combined Mean, Standard Deviation and Correlation texture images using artificial neural networks (ANN) (overall accuracy: 89.7% and Kappa: 0.886). These high accuracies indicated that RADARSAT fine-beam SAR has the potential for operational landuse/land-cover mapping in urban environments.

Place, publisher, year, edition, pages
2005.
Keyword [en]
Classification, Landuse/Land-cover, Multitemporal, RADARSAT SAR
National Category
Remote Sensing
Identifiers
URN: urn:nbn:se:kth:diva-148533Scopus ID: 2-s2.0-84874234075OAI: oai:DiVA.org:kth-148533DiVA: diva2:738530
Conference
8th AGILE International Conference on Geographic Information Science, AGILE 2005; Estoril, Portugal; 26-28 May, 2005
Note

QC 20140818

Available from: 2014-08-18 Created: 2014-08-08 Last updated: 2014-08-18Bibliographically approved

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Ban, Yifang
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf