SIMULATION OF AN ALGORITHM FOR THE SPECTRAL IDENTIFICATION OF SPACE TARGET MATERIALS
Abstract
A novel extraction and purification method for identifying pure materials in space targets is presented in this paper. Simulation experiments are carried out using data from the United States Geological Survey and laboratory sample material. Experimental results show that the proposed method can successfully improve the unmixing of sparse spectra. This algorithm should also be suitable for other spectral analysis applications.
Supporting agencies: This work is supported by the National Natural Science Foundation of China (Grant No. 61575015).
About the Authors
Qing-Bo Li
School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
Qi Wang
School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
Shao-Lin Shi
School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
China
Xueyuan Road No. 37, Haidian District, Beijing, 100191
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Review
For citations:
Li Q., Wang Q., Shi Sh. SIMULATION OF AN ALGORITHM FOR THE SPECTRAL IDENTIFICATION OF SPACE TARGET MATERIALS. Zhurnal Prikladnoii Spektroskopii. 2019;86(3):447-453.
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