一种针对光谱匹配的高光谱图像预处理方法

A Hyperspectral Image Preprocessing Method for Spectral Matching

光谱匹配对光谱曲线的稳定性和准确性均有严格要求,而高光谱图像数据中的光谱曲线受多种因素影响。对此,以平场域法为基础,设计了自动搜索平场域策略,并结合黑暗像元法和其他研究领域常用的经验法,提出一种改进的高光谱图像预处理方法,实现了基于高光谱图像本身数据的自动反射率反演。使用3幅各具特点的图像数据进行的实验表明,本文方法比传统的内部平均法和平场域法有更强的准确性和鲁棒性,能有效改善光谱匹配的效果。

Spectral matching has strict requirements to stability and accuracy of the spectral curve,while the spectral curve in hyperspectral image data is influenced by many factors.An automatic search flat field strategy is designed based on the flat field method.An improved preprocessing method is proposed for hyperspectral images on the basis of dark-object subtraction and empirical method commonly used in the other research areas.Thus automatic reflectance inversion based on hyperspectral image data is realized.Experiments using three different images show that the method of this paper is more accurate and robust than the traditional methods,and can effectively improve the effect of spectral matching.