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Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment.
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2015 (English)In: Optics Express, ISSN 1094-4087, E-ISSN 1094-4087, Vol. 23, no 11, 13761-13775 p.Article in journal (Refereed) Published
Abstract [en]

Urban land cover map is essential for urban planning, environmental studies and management. This paper aims to demonstrate the potential of geometric and radiometric features derived from LiDAR waveform and point cloud data in urban land cover mapping with both parametric and non-parametric classification algorithms. Small footprint LiDAR waveform data acquired by RIEGL LMS-Q560 in Zhangye city, China is used in this study. A LiDAR processing chain is applied to perform waveform decomposition, range determination and radiometric characterization. With the synergic utilization of geometric and radiometric features derived from LiDAR data, urban land cover classification is then conducted using the Maximum Likelihood Classification (MLC), Support Vector Machines (SVM) and random forest algorithms. The results suggest that the random forest classifier achieved the most accurate result with overall classification accuracy of 91.82% and the kappa coefficient of 0.88. The overall accuracies of MLC and SVM are 84.02, and 88.48, respectively. The study suggest that the synergic utilization of geometric and radiometric features derived from LiDAR data can be efficiently used for urban land cover mapping, the non-parametric random forest classifier is a promising approach for the various features with different physical meanings.

Place, publisher, year, edition, pages
2015. Vol. 23, no 11, 13761-13775 p.
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-171157DOI: 10.1364/OE.23.013761ISI: 000356902400039PubMedID: 26072748Scopus ID: 2-s2.0-84943143377OAI: oai:DiVA.org:kth-171157DiVA: diva2:842398
Note

QC 20150720

Available from: 2015-07-20 Created: 2015-07-20 Last updated: 2017-12-04Bibliographically approved

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CiteExportLink to record
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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
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  • asciidoc
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