矿物粒度是影响矿物光谱特征的一个重要因素, 探索不同粒度下矿物光谱曲线的变化情况以及相同粒度下不同矿物的光谱差异, 不仅是高光谱矿物遥感信息识别的关键, 也为研究矿物随着粒度变化而产生的光谱差异提供理论基础。 利用地物光谱仪对采集的六种矿物进行观测, 获取了不同粒度下的反射率光谱曲线, 同时生成一阶微分光谱曲线, 进而分析了不同粒度下各种矿物的光谱变化特征, 对比了相同粒度下不同矿物的光谱差异, 探索高光谱遥感识别矿物的可能波段。 结果表明: 各种矿物的光谱曲线均会随着粒度的改变而产生较大的差异, 但变化规律不尽相同, 紫苏辉石的整条光谱曲线都会随着粒度的增加而下降, 叶蛇纹石、 赤铁矿、 高岭石、 绿泥石的光谱曲线在特定的波长范围内随着粒度的增加而下降, 橄榄石的光谱与粒度大小不存在直接的相关性; 相同粒度下, 不同矿物的光谱反射率在大部分波段范围内差异较大, 为实现矿物高精度识别提供了可能; 叶蛇纹石、 高岭石、 绿泥石具有较多的宽度较窄、 强度较小的吸收峰, 而赤铁矿、 橄榄石、 紫苏辉石的光谱曲线相对平滑, 吸收和反射峰的数量较少。 本研究旨在为矿物光谱库的构建以及矿物的高光谱技术识别提供基础数据和理论支撑。

Mineral particle size is an important factor affecting mineral spectrum characteristics, so to explore the changes of the mineral spectrum curves under different particle sizes and the spectrum difference of different minerals under the same particle size are the keys of hyperspectral remote sensing information mineral identification and the theoretical basis of research on spectral differences of different particle sizes. Six kinds of collected minerals were observed by spectrometer to get the reflectivity spectrum curve and first order differential spectral curve under different particle sizes, and the spectral characteristics of various kinds of minerals under different particle sizes were analyzed. At the same time, spectrum difference of different mineral under the same particle size was compared to explore possible wavelengths of hyperspectral remote sensing mineral identify. Results show that the spectrum curves of various minerals have a larger difference with the change of the particle size, but change law is not the same. The whole spectrum curve of hypersthene will be decreased with the increase of particle size, and the spectrum curve at a specific wavelength range of antigorite, hematite, kaolinite and chlorite will be decreased with the increase of particle size, and there is no direct correlation between the spectrum of olivine and the particle size. Under the same size, different mineral spectral reflectance change a lot in most band range and it provides the possibility for high precision identification of mineral. Antigorite, kaolinite and chlorite all have more absorption peaks of narrow width and smaller intensity than the other minerals. Spectrum curves of hematite, olivine and hypersthene are relatively smooth, and the number of the absorption and reflection peaks is relatively small. This study aims at providing basic data and theoretical support for mineral spectral library construction and mineral hyperspectral identification technology.