文章通过分析目前常用的成像光谱仪图像数据压缩方法,确立了决定干涉图压缩的问题关键,在分析实际应用中常用的几种光谱匹配模型的基本原理的基础上,探讨了干涉图匹配和光谱图匹配之间存在的对应关系。从而提出了利用光谱匹配角和干涉曲线匹配角之间对应关系来确定干涉图最大压缩比的方法。在光谱匹配角模型的基础上,通过对一组光谱数据及其对应的干涉图进行试验,验证了利用该方法所依赖的理论和技术依据的可靠性,为建立高效稳健的光谱数据压缩模型提供了理论上的支持,为开辟新的高压缩比的干涉图压缩方法提供了一条思路。
By analyzing the methods of imaging spectrometer image data compression, the key point of interference figure compression is found out, and the corresponding relationship between interferogram matching and spectrogram matching is analyzed using the basic principle of several spectral matching models. Then, we present a method to determine the maximum compression ratio of interferogram by using the relationship between interferogram matching angle and spectrogram matching angle. At last, the reliability of the theoretical and technical basis of the method is validated through related experiments based on real spectrum data and its corresponding interferogram, which offers a solid theoretical support for the high efficient and robust modeling of spectrum data compression, and supplies a new idea for the development of interferogram compression method with high compression ratio.