Application of hyperspectral remote sensing in the detection of marine oil spill
Автор: Suriguga , Yulong Bao , Yuhai Bao , Erdemtu Jin
Журнал: Природа Внутренней Азии @nature-inner-asia
Рубрика: География
Статья в выпуске: 4 (13), 2019 года.
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The article presents the application of Hyperion hyperspectral data for conducting oil film detection in the Gulf of Mexico after marine oil spill accident. Data dimension reduction was performed by the Minimum Noise Fraction Method, the endmember was extracted by the Pure Pixel Index (PPI) method. Spectral Angle Mapping (SAM) and Support Vector Machine (SVM) were used to classify and verify data. The results show that the classification accuracy of SVM method is higher than that of SAM method, and the result is closer to the distribution of oil film, while the accuracy of SVM method based on Polynomial kernel function is higher than that of SVM method based on RBF kernel function, and offshore oil film identification is better.
Oil film, hyperion, spectral angle mapping, support vector machine
Короткий адрес: https://sciup.org/148318035
IDR: 148318035 | DOI: 10.18101/2542-0623-2019-4-93-99
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