粗糙度对岩石热红外光谱解混影响的实验研究

发布时间：2018-07-05 10:00

本文选题：块状岩石 + 模拟岩石　；参考：《光谱学与光谱分析》2017年10期

【摘要】：现有的岩石热红外光谱解混,大多针对颗粒岩石,无法满足自然界块状岩石高精度光谱解混的要求。研究将粗糙度作为影响光谱发射率与解混精度的考虑因素,研究块状岩石的热红外光谱解混问题。以自然岩石表面形态为依据,设计了三个粗糙度等级;顾及到岩石的结构情况,采用矿物块体拼接的方法模拟制作了3种块状岩石;通过相同和不同粗糙度的解混实验,来研究自然界块状岩石的表面粗糙度对岩石光谱特征和光谱解混的影响规律。结果表明,当矿物端元与岩石在相同粗糙度下光谱线性解混时,效果较好;而在不同粗糙度下解混时,60个解混结果中有48.3%误差超过5%,最大达到25.3%。基于此,建议在实际岩矿高光谱定量遥感中,应该充分考虑粗糙度对光谱解混的影响。
[Abstract]:Most of the existing thermal infrared spectra of rocks are aimed at granular rocks, which can not meet the requirements of high precision spectral descrambling of natural block rocks. In this paper, roughness is considered as the factor of affecting spectral emissivity and unmixing accuracy, and the thermal infrared spectrum of block rock is studied. Based on the surface morphology of natural rock, three roughness grades are designed. Taking into account the structure of rock, three kinds of massive rock are simulated by the method of mineral block splicing, and the same and different roughness demultiplexing experiments are carried out. To study the influence of surface roughness on spectral characteristics and spectral demultiplexing of rock masses in nature. The results show that the effect is better when the mineral end element and rock are decomposed linearly under the same roughness, but 48.3% of the 60 unmixing results are more than 5%, the maximum error is 25.3%. Based on this, it is suggested that the influence of roughness on spectral decontamination should be fully considered in the hyperspectral quantitative remote sensing of real rocks and mines.
【作者单位】：东北大学资源与土木工程学院;河南理工大学测绘与国土信息工程学院;东北大学深部金属矿山安全开采教育部重点实验室;
【基金】：国家自然科学基金项目(41440032)资助
【分类号】：O433

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