Lithological Classification by Hyperspectral Images Based on a Two-Layer XGBoost Model, Combined with a Greedy Algorithm
Lithology classification is important in mineral resource exploration, engineering geological exploration, and disaster monitoring. Traditional laboratory methods for the qualitative analysis of rocks are limited by sampling conditions and analytical techniques, resulting in high costs, low efficien...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2023-07-01
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| سلاسل: | Remote Sensing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2072-4292/15/15/3764 |
| الوسوم: |
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