Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network.
The purposes are to solve the isomorphism encountered while processing hyperspectral remote sensing data and improve the accuracy of hyperspectral remote sensing data in extracting and classifying lithological information. Taking rocks as the research object, Backpropagation Neural Network (BPNN) is...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ecf15f30007a4ffca740a10980599bef |
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