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A Tetrahedron-Based Endmember Selection Approach for Urban Impervious Surface Mapping

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  • Wei Wang
  • Xinfeng Yao
  • Junpeng Zhai
  • Minhe Ji

Abstract

The pixel purity index (PPI) and two-dimensional (2-D) scatter plots are two popular techniques for endmember extraction in remote sensing spectral mixture analysis, yet both suffer from one major drawback, that is, the selection of a final set of endmembers has to endure a cumbersome process of iterative visual inspection and human intervention, especially when a spectrally-complex urban scene is involved. Within the conceptual framework of a V-H-L-S (vegetation-high albedo-low albedo-soil) model, which is expanded from the classic V-I-S (vegetation-impervious surface-soil) model, a tetrahedron-based endmember selection approach combined with a multi-objective optimization genetic algorithm (MOGA) was designed to identify urban endmembers from multispectral imagery. The tetrahedron defining the enclosing volume of MNF-transformed pixels in a three-dimensional (3-D) space was algorithmically sought, so that the tetrahedral vertices can ideally match the four components of the adopted model. A case study with Landsat Enhanced Thematic Mapper Plus (ETM+) satellite imagery in Shanghai, China was conducted to verify the validity of the method. The method performance was compared with those of the traditional PPI and 2-D scatter plots approaches. The results indicated that the tetrahedron-based endmember selection approach performed better in both accuracy and ease of identification for urban surface endmembers owing to the 3-D visualization analysis and use of the MOGA.

Suggested Citation

  • Wei Wang & Xinfeng Yao & Junpeng Zhai & Minhe Ji, 2014. "A Tetrahedron-Based Endmember Selection Approach for Urban Impervious Surface Mapping," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-16, June.
  • Handle: RePEc:plo:pone00:0093479
    DOI: 10.1371/journal.pone.0093479
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    Cited by:

    1. Kapo Wong & Yuanzhi Zhang & Jin Yeu Tsou & Yu Li, 2017. "Assessing Impervious Surface Changes in Sustainable Coastal Land Use: A Case Study in Hong Kong," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
    2. Peroni Venancio, Luan & Chartuni Mantovani, Everardo & do Amaral, Cibele Hummel & Usher Neale, Christopher Michael & Zution Gonçalves, Ivo & Filgueiras, Roberto & Coelho Eugenio, Fernando, 2020. "Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction," Agricultural Water Management, Elsevier, vol. 236(C).
    3. Kapo Wong & Yuanzhi Zhang & Qiuming Cheng & Ming Chun Chao & Jin Yeu Tsou, 2022. "Comparison of Impervious Surface Dynamics through Vegetation/High-Albedo/Low-Albedo/Soil Model and Socio-Economic Factors," Land, MDPI, vol. 11(3), pages 1-20, March.

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