联合实验室、野外和航空光谱数据库用于土壤碳氢化合物含量的量化

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Pub Date : 2016-08-01 DOI:10.1109/WHISPERS.2016.8071728

V. Lever, P. Foucher, X. Briottet, D. Dubucq, R. Oltra-Carrió, L. Poutier, V. Achard, P. Déliot

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引用次数: 1

摘要

土壤-碳氢化合物混合物具有复杂的光谱响应。到目前为止，这已经禁止了任何物理模型。光谱分析和污染率的量化是通过回归模型进行的，并在光谱数据库上进行校准。仅使用了实验室或现场数据库。本研究提出了一个创新的反射域(0.4-2.5 /xm)联合实验室-现场-航空光谱数据库，以评估回归模型对土壤-碳氢化合物混合物航空图像的性能。描述了样品制备和光谱测量。隐含的仪器是ASD FieldSpec Pro 2光谱仪和HySpex高光谱相机。显示了地面真实值与航空数据的一致性。显示了几个原始的室外光谱。

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Joint lab, field and airborne spectral database for the quantification of soil hydrocarbon content

Soil-hydrocarbon mixtures give complex spectral responses. This has prohibited any physical modelling until now. Spectral analysis and quantification of contamination rate has been performed by regression models, calibrated on spectral databases. Only lab or field databases have been used. This study proposes an innovative joint lab-field-airborne spectral database in the reflective domain (0.4–2.5/xm) to assess the performance of regression models on airborne images of soil-hydrocarbon mixtures. Sample preparation and spectral measurements are described. Implied instruments are an ASD FieldSpec Pro 2 spectrometer and the HySpex hyperspectral camera. Accordance between ground truth and airborne data is shown. Several raw outdoor spectra are displayed.

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2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

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