摘要
本文在简要叙述条带噪声形成原因的基础上 ,针对南极地区的ASTER 1A的可见光影像中出现的条带噪声的现象 ,通过设计了基于切比雪夫窗、凯瑟窗的FIR滤波器和约束最小二乘FIR滤波器对其条带噪声进行剔除 ,这两种滤波器能够尽可能地剔除条带 ,同时使影像的灰度分布发生最小畸变。并通过与其他方法 (例如 :低通滤波 ,直方图匹配等 )比较 。
This paper briefly reviews the cause of the striping and then develops a tapered (Chebwin & Kaiser) window finite impulse response (FIR) filter and a constrained least squares FIR filter by reason of the striping of ASTER satellite data. Both filters minimize the stripes in the visible data and simultaneously minimize any distortion in the filtered data. Finally, the results obtained by using these new filtering methods are quantitatively compared with those produced by other destriping methods.
出处
《极地研究》
CAS
CSCD
2004年第1期1-10,共10页
Chinese Journal of Polar Research
基金
国家测绘局重点项目 (项目编号 :1 469990 3 2 42 3 6-0 4-0 6)
关键词
卫星影像
条带噪声
南极
冰貌
数字滤波器
直方图匹配
矩匹配
Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), destriping, Fast Fourier transform (FFT), finite-impulse response (FIR), lowpass filter, histogram matching, moment matching.