Open AccessIntegrated software design of dispersive spectrometer imaging system
Author(s) -
Xiaoyan Wang,
Bangping Peng,
Jie Li,
Liankun Sun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012187
Subject(s) - hyperspectral imaging , matlab , computer science , software , imaging spectrometer , interface (matter) , data processing , spectrometer , data acquisition , full spectral imaging , flexibility (engineering) , remote sensing , computer vision , artificial intelligence , optics , physics , mathematics , statistics , bubble , maximum bubble pressure method , parallel computing , programming language , geology , operating system
Hyperspectral imaging technology is a new means of ground observation technology, which can simultaneously obtain the geometric image of the target and spectral information. It is the main instrument of high spectral remote sensing data acquisition. In order to facilitate the analysis of the motion imaging degradation mechanism of dispersive spectrometer and the high-precision real-time correction effect, we have developed a software system integrating motion imaging degradation of dispersive spectrometer, restoration correction and quality evaluation. Given the powerful image data processing function of Matlab and C# written form of the structure of the interface height flexibility and convenience, this system is compiled with the C# and Matlab mixed mode. Practical applications show that the software system has the characteristics of reasonable structure, complete functions, stable performance, and open system. It provides technical support for establishing a fast hyperspectral high-precision restoration correction processing platform and improving the accuracy of hyperspectral data, which will speed up the practical application of hyperspectral data.