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静态计算光谱成像技术中图谱反演环节是实现其理论优势极为关键的一步,是决定最终获得图谱质量优劣的数据处理技术.本文为此专注于计算光谱的图谱反演环节,对图像压缩感知理论算法、图像重构算法、以及针对图谱三维数据的反演算法都开展了深入的研究和比较,并结合所研制系统的图谱数据传输全链路和工程研制过程中误差等因素进行全面详尽的仿真验证,给出各种图谱反演算法验证、分析结果.指出静态计算光谱成像系统研制中图谱反演环节的关键数据处理问题,适合采用的算法及其优化路线.为顺利研制静态计算光谱成像仪,保证其理论优势的实现,提供了详实的分析、参考依据.
It is a very crucial step to realize its theoretical advantage in the static calculation of spectral imaging technology, and it is the data processing technology that determines the quality of the final spectrum.This paper focuses on the calculation of spectral spectrum inversion, image compression perception Theoretical algorithms, image reconstruction algorithms, as well as the inversion algorithm for the three-dimensional map data are carried out in-depth research and comparison, combined with the development of the system of the whole spectrum of data transmission links and engineering development process error and other factors comprehensive and exhaustive Simulation validation is given to verify and analyze the results of various inversion algorithms.It points out the key data processing problems in the inversion process of the spectrum in the development of the static computing spectral imaging system and the suitable algorithms and optimization methods.In order to develop the static computed spectroscopic imaging Instrument, to ensure the realization of its theoretical advantages, provides a detailed analysis, reference basis.