基于深度学习的东秦岭羟基蚀变信息遥感解译及可靠性检验
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李春意, 赵鹏翔, 丁来中, 王文杰, 高彦涛, 买志瑶, 郭亚星
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Deep learning-based remote sensing interpretation and its reliability verification for hydroxyl alteration information in the East Qinling Mountains
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LI Chunyi, ZHAO Pengxiang, DING Laizhong, WANG Wenjie, GAO Yantao, MAI Zhiyao, GUO Yaxing
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表3 样品主要元素百分比含量
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Tab.3 Percentage content of main elements in the sample (%)
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| 检测元素 | 样品序号 | | P1 | P2 | P3 | P4 | P5 | P6 | | SiO2 | 55.134 2 | 72.183 7 | 56.561 6 | 54.313 0 | 44.202 5 | 41.066 4 | | Al2O3 | 9.756 7 | 4.200 8 | 11.661 9 | 11.556 1 | 13.227 1 | 12.059 2 | | Na2O | 0.452 2 | 1.780 4 | 3.316 6 | 2.089 6 | 2.143 5 | 2.106 8 | | K2O | 0.524 4 | 1.864 3 | 4.687 1 | 5.531 4 | 1.749 3 | 0.567 6 | | MgO | 5.146 6 | 0.093 2 | 0.135 9 | 1.453 9 | 1.834 1 | 4.739 5 | | Fe2O3 | 2.486 4 | 0.364 2 | 1.438 5 | 2.128 0 | 3.727 1 | 9.440 0 | | CaO | 8.456 2 | 0.564 3 | 0.102 1 | 0.196 2 | 1.126 9 | 7.178 3 | | C | 17.414 5 | 19.125 6 | 21.720 7 | 22.323 3 | 31.341 5 | 21.828 9 |
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