Integrated software design of dispersive spectrometer imaging system

Xiaoyan Wang, Bangping Peng, Jie Li, Li Sun

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Article number012187
JournalJournal of Physics: Conference Series
Volume1693
Issue number1
DOIs
Publication statusPublished - 16 Dec 2020
Externally publishedYes
Event2020 3rd International Conference on Computer Information Science and Artificial Intelligence, CISAI 2020 - Hulun Buir, Inner Mongolia, China
Duration: 25 Sept 202027 Sept 2020

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