分析了OMIS高光谱图像条带噪音产生的主要原因及条带噪音的特点.提出了两种改进的空域和小波域OMIS条带噪音消除新方法.比较了实验图像和数据.结果表明,两种新方法均具有良好的消除OMIS条带噪音的能力,并能较好地保持图像的纹理细节信息,效果明显优于原有方法.
The main causes and characteristics of stripe noises in OMIS hyperspectral data were analyzed. Based on the previous analysis, two improved destriping methods of OMIS images were developed. The result of comparing the tested images with data indicates that both the new methods could effectively remove stripe noises and preserve the textures and details of the OMIS images better than the existed methods.