摘要
高光谱遥感图像中不仅存在空间域噪声而且存在光谱域噪声.传统的图像滤波仅对图像空间域噪声进行处理,而不能去除光谱域噪声,为改进这种状况,提出了DSGF(Derivative based Savitzky-Golay F ilter)方法.首先,基于反射率光谱的二阶导数对反射率光谱各波段噪声大小进行判定,然后用不同大小平滑窗的Savitzky-Golay滤波器对反射率光谱作两步滤波.对高光谱图像进行的逐像元DSGF滤波,在去除光谱域中噪声的同时,保留了图像反射率光谱的大部分细微特征.
Not only spatial noise but also spectral noise exists in hyperspectral images. Only spatial noise but no spectral noise is removed with traditional image filters. To improve this situation DSGF （ Derivative based Savitzky-Golay Filter） method was presented here. First noise level of each especial band is determined based on the second derivative of reflectance, then reflectance is filtered twice by Savitzky-Golay filter sizes, which results in removing spectral noise in hyperspectral image. In the meanwhile most fine features of reflectance are remained after hyperspectral image is filtered pixel by pixel by DSGF filter.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第1期29-32,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金资助项目(40171088)
国家863应用与示范项目(2002AA134020)
上海市科委科技攻关计划项目(035115006)
上海市科委重大项目(04DZ19305)
