Determination of proportions and entropy of land use mixing in pixels of a multispectral satellite image
Autor: | P. Leymarie, M. Berthod, Sandrine Mathieu |
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Rok vydání: | 2002 |
Předmět: |
Ground truth
Land use Pixel business.industry Multispectral image Linear analysis Uncertainty coefficient Computer Science::Computer Vision and Pattern Recognition Satellite image Entropy (information theory) Computer vision Artificial intelligence business Physics::Atmospheric and Oceanic Physics Mathematics Remote sensing |
Zdroj: | ICPR (1) |
Popis: | Deals with a form of knowledge of land use relating to mixture percentages. The authors present a method for the determination of mixture percentages in pixels of a multispectral satellite scene (Landsat TM or SPOT XS). This method is applied to images after correction for topographic and atmospheric effects. They continue with a description of the linear analysis of the satellite scene and capture of the reference spectra, pure units of the percentages calculation. This process is validated first by comparison with ground truth, and then with a comparison with classic land use classifications. An entropy coefficient has been calculated for each pixel. |
Databáze: | OpenAIRE |
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