Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images
Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images
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DOI：
10.3390/rs8030172
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发表时间：
2016-02
期刊：
影响因子：
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通讯作者：
N. Yokoya;J. Chan;K. Segl
中科院分区：
文献类型：
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作者：
N. Yokoya;J. Chan;K. Segl
星载高光谱图像可用于大比例尺矿物制图。环境绘图和分析方案（EnMAP）是在30米的地面取样距离上获得的，将能够在420至2450纳米的光谱范围内进行测量，从而正确地看待与环境监测和资源勘探有关的许多问题。然而，对于许多应用，更高的空间分辨率是优选的。本文研究了基于融合的高光谱数据分辨率增强的潜力矿物制图。一对EnMAP和哨兵-2图像是从矿区上方的HyMap场景生成的。该仿真基于成熟的传感器端到端仿真工具。EnMAP图像融合与哨兵-2 10-m-GSD波段使用矩阵分解方法，以获得分辨率增强EnMAP数据在10 m GSD。质量评估的增强数据进行定量措施和连续去除，都表明，高光谱和空间保真度的保持。最后，光谱分解的结果进行了比较，预期从高分辨率的高光谱数据在10米的GSD。对比结果表明，EnMAP型数据的分辨率增强方法具有较高的相似性，在矿产填图中具有很大的应用潜力。
Spaceborne hyperspectral images are useful for large scale mineral mapping. Acquired at a ground sampling distance (GSD) of 30 m, the Environmental Mapping and Analysis Program (EnMAP) will be capable of putting many issues related to environment monitoring and resource exploration in perspective with measurements in the spectral range between 420 and 2450 nm. However, a higher spatial resolution is preferable for many applications. This paper investigates the potential of fusion-based resolution enhancement of hyperspectral data for mineral mapping. A pair of EnMAP and Sentinel-2 images is generated from a HyMap scene over a mining area. The simulation is based on well-established sensor end-to-end simulation tools. The EnMAP image is fused with Sentinel-2 10-m-GSD bands using a matrix factorization method to obtain resolution-enhanced EnMAP data at a 10 m GSD. Quality assessments of the enhanced data are conducted using quantitative measures and continuum removal and both show that high spectral and spatial fidelity are maintained. Finally, the results of spectral unmixing are compared with those expected from high-resolution hyperspectral data at a 10 m GSD. The comparison demonstrates high resemblance and shows the great potential of the resolution enhancement method for EnMAP type data in mineral mapping.