Study on the principle of hyperspectral recognition of coal-rock interface

In order to study the technology of hyperspectral recognition of coal and rock based on their components, the reflectance spectra of coal and rock samples from production lines of different coal mines in China were acquired in the 350-2 500 nm range.By analyzing the spectral reflectance curves of the representative samples, the main absorption bands of coal and rock were obtained.It was found that the spectral reflectance curves of rocks are strongly absorbed near 2 200 nm while the absorption of coals near this wavelength point is not obvious.The reason is that Al-OH vibration structure-contained minerals are highly contained in rock while coal contains less this type of minerals.The difference of absorption between coal and rock near 2 200 nm was regarded as the basic principle of coal-rock recognition.After preliminary and continuum removal pretreatment, the spectral data of the training set were trained and the spectral types of the test set were predicted using four recognition models in the 350-2 500 nm range and the absorption valley of 2 150-2 250 nm.The overall recognition accuracy of sample types of the test set is about 90%, and the consistency is high.The recognition speed is in milliseconds and the real-time is better.These principles and recognition methods provide a reference for practical engineering applications.