Mineral Alteration Information Extraction Based on SREM Fusion Data
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关键词:
- 多光谱图像光谱分辨率增强方法融合数据 /
- 蚀变信息提取 /
- 斑岩铜矿 /
- 混合调制匹配滤波 /
- 遥感
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图 1 ASTER多光谱数据与Hyperion高光谱数据幅宽对比
Fig. 1. The different breadth of ASTER data and Hyperion data
图 5 Hyperion(a)与SREM融合数据(b)矿物分布(重合区域)
Fig. 5. Alteration minerals distribution maps of Hyperion (a) and SREM fusion data (b)
图 6 ASTER、Hyperion和SREM融合数据矿物光谱曲线对比
a.绢云母；b.伊利石；c.高岭石；d.绿泥石；e.黄钾铁矾
Fig. 6. The difference of minerals spectral curves between ASTER, Hyperion and SREM fusion data
图 7 ASTER (a)与SREM融合数据蚀变矿物分布(b)
Fig. 7. Alteration minerals distribution of ASTER (a) and SREM fusion data (b)
表 1 SREM融合数据和Hyperion光谱相似性
Table 1. Spectral similarity between SREM fusion data and Hyperion
矿物类型 绢云母 伊利石 高岭石 绿泥石 黄钾铁矾 SAM(度) 3.332 9 2.615 5 2.356 5 2.968 3 4.590 5 UIQI 0.979 9 0.989 4 0.983 8 0.985 9 0.974 9 
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表 2 Hyperion与SREM融合数据矿物精度分析
Table 2. The accuracy of minerals between Hyperion data and SREM fusion data
矿物类型 制图精度(%) 用户精度(%) 伊利石 70.52 71.77 绢云母 68.97 64.45 高岭石 95.17 92.13 绿泥石 96.21 99.86 黄钾铁矾 92.18 89.74 总体精度(%) 92.85 Kappa系数0.897 3
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表 3 ASTER与SREM融合数据矿物精度分析
Table 3. The accuracy of minerals between ASTER data and SREM fusion data
矿物类型 制图精度(%) 用户精度(%) Al-OH 95.10 90.08 Mg-OH 93.26 97.66 Fe3+ 85.11 60.08 总体精度(%) 90.561 7 Kappa系数0.811 6
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