КЛАСИФІКАЦІЯ ПОКРИТТІВ ЛАНДШАФТІВ НА ГІПЕРСПЕКТРАЛЬНИХ АЕРОКОСМІЧНИХ ЗОБРАЖЕННЯХ НА ОСНОВІ РОЗДІЛЕННЯ СУМІШЕЙ СПЕКТРАЛЬНИХ КОМПОНЕНТ
The exact algorithm of spectral endmembers unmixing inside pixels of hyperspectral aerospace images by constrained least squares method is represented. The application of endmembers unmixing with known spectra for land-cover classification is considered. Subpixel classification may be useful for var...
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| Datum: | 2006 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2006
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| Online Zugang: | https://jais.net.ua/index.php/files/article/view/276 |
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| Назва журналу: | Problems of Control and Informatics |
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Problems of Control and Informatics| Zusammenfassung: | The exact algorithm of spectral endmembers unmixing inside pixels of hyperspectral aerospace images by constrained least squares method is represented. The application of endmembers unmixing with known spectra for land-cover classification is considered. Subpixel classification may be useful for various remote sensing thematic tasks solving. |
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