Spectral unmixing of high spatial resolution imagery has attracted growing interest for interpreting urban surface material characteristics.
Oct 22, 2024 · This study proposes an endmember optimization method based on endmember spatial distribution (i.e. solid angle and tetrahedron volume) to select ...
•Spectral unmixing is adopted for fine-scale urban reflectance characterization.•A new endmember optimization approach based on spatial distribution is ...
An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery. https://doi.org/10.1016/j.jag.2013.09.013. Journal: International ...
An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery ; 巻: 27 ; 号: PARTB ; 開始ページ: 137 ; 終了ページ: 146 ; 記述言語 ...
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This notebook gives an overview to the use of the unmixing library for interactive linear spectral mixture analysis (LSMA) in pure Python.
An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery. J Yang, Y He, T Oguchi. International journal of applied earth ...
[PDF] L1 Unmixing and its Application to Hyperspectral Image Enhancement
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This method produces images with higher visual quality and can be used to indicate the subpixel location of features. Keywords: Hyperspectral imagery, spectral ...
Oct 15, 2022 · An Endmember Optimization Approach for Linear Spectral Unmixing of Fine-Scale Urban Imagery. Int. J. Appl. Earth Obs. Geoinf. 2014, 27, 137 ...
May 22, 2020 · In multiple-endmember linear spectral unmixing model (MELSUM), the solution for abundances is obtained from directly solving the linear ...