Method for intelligently identifying mineral information based on spectral information

Abstract

The invention discloses a method for intelligently identifying mineral information based on spectral information. The method comprises the following steps of: (1) extracting the spectral information comprising spectral waveform and spectral characteristic parameters; (2) reading in hyperspectral image data; (3) resampling each reference spectrum according to the wavelength of the image spectrum; (4) removing continuum of the image spectrum and the resampled reference spectrum; (5) performing least square fitting on the image spectrum and each reference spectrum processed by the step (4) at a primary absorption characteristic band and a secondary absorption characteristic band to obtain an initial matching value; (6) performing three kinds of constraint processing, namely matching of spectral angle at a characteristic band, judging of existence of specific absorption characteristic and setting of a reflectivity threshold value of the characteristic band, on the initial matching value to obtain the final matching value; and (7) obtaining the final identification result of the hyperspectral image by using the constraint of spatial distribution continuity of a mineral, wherein the reference spectrum corresponding to the maximum matching value in the final matching values obtained by the step (6) is a preliminary identification result of a pixel.

Description

technical field [0001] The invention relates to a mineral information intelligent identification method based on spectral knowledge, which belongs to the field of hyperspectral data processing methods and application technology, and is suitable for the theoretical method of automatic extraction of hyperspectral image information and the application technology research in the fields of mineral information identification and the like. Background technique [0002] Compared with traditional remote sensing, hyperspectral increases the spectral dimension information, which reflects the inherent characteristics of its representative features. Making full use of this information can greatly promote the application range and level of hyperspectral data, and continuously expand the application depth and breadth of hyperspectral data. [0003] At present, the identification methods of hyperspectral mineral information are mainly based on spectral similarity measure, mixed spectral mode...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of existing mineral information identification methods, such as less utilization of spectral absorption features, insufficient consideration of the amplitude difference between the reference spectrum and the image pixel spectrum caused by the measurement environment, and the lack of consideration of the distribution characteristics of the mineral itself. A method for intelligent identification of mineral information based on spectral knowledge

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