【摘要】 针对高光谱数据条带噪声的分布特点,本文提出在空间域采用矩匹配法去除条带噪声,在NSCT域采用基于邻域信息的自适应软阈值滤波法去除随机点噪声的综合去噪模型。通过哈图金矿区HSI二级产品数据实验证明,该方法不仅可以有效地去除条带及随机点噪声,而且较为完整地保留了原始影像的特征信息及边沿细节,进而为高光谱遥感定量分析与应用提供数据基础。更多还原

【Abstract】 Aimed at the distribution characteristics of the stripe noises of hyper-spectral data,the following methods are adopted in the experiment:1)remove stripes with moment matching in the space domain;2)eliminate the random noises by adaptive soft thresholding filtering based on neighboring information in NSCT domain.The results of Hatu gold zone HSI level 2data experiments indicate that the synthesis method can not only remove stripes and random noises effectively,but also relatively retain the integrity of the feature information and edge details of the original image.Therefore,the method could provide data base for the application of quantitative remote sensing.更多还原