DOI: 10.1016/j.jag.2013.09.013
Scopus记录号: 2-s2.0-84897563622
论文题名: An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery
作者: Yang J ; , He Y ; , Oguchi T
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 27, 期: PARTB 起始页码: 137
结束页码: 146
语种: 英语
英文关键词: Endmember optimization
; High spatial resolution
; Linear spectral unmixing
; SESMA and MESMA
; Spectral mixing space
Scopus关键词: imagery
; optimization
; spatial distribution
; spatial resolution
; spectral analysis
; urban area
英文摘要: Spectral unmixing of high spatial resolution imagery has attracted growing interest for interpreting urbansurface material characteristics. This study proposes an endmember optimization method based on end-member spatial distribution (i.e. solid angle and tetrahedron volume) to select the optimal endmembercombination for urban spectral unmixing. Specifically, a linear spectral unmixing model (SESMA) isimplemented in a suitable 3-D spectral space structured by the green, red and near infrared bands ofthe imagery, and endmember spatial distribution is measured with solid angle and tetrahedron volume.Both the solid angle and tetrahedron volume are found to have a strong linear or logarithmic relation-ship with valid and correct unmixed proportions, whereas the latter measure also takes the photometricshade into account as an endmember. The spectral unmixing results based on the proposed endmemberoptimization method are compared with those from a common multiple endmember spectral mixtureanalysis (MESMA) model. Towards different classes, each model has its own advantages over the other. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79720
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of Toronto, 100 St. George Street, Toronto, ON M5S 3G3, Canada; Department of Geography, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa 277-8568, Japan
Recommended Citation:
Yang J,, He Y,, Oguchi T. An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,27(PARTB)