但由于各种因素影响，高光谱图像受到了严重的条带噪声干扰。
However, because of the affection of various factors, hyperspectral images are usually seriously corrupted by stripe noises.
条带噪声是影响MODIS遥感影像质量和反演精度的一个重要因子。
Stripe noise is one of the important factors which degrade the quality and affect the retrieval precision of MODIS images.
利用二维傅里叶变换进行方向滤波，较好地消除了南极地区影像上的条带噪声。
This paper presents a method that can remove streaking noise better by means of direction filtering based on two dimension Fourier transform.
条带噪声在许多星载、机载多传感器和单传感器光谱仪成像中是一种很普遍的现象。
Band noise is a very common phenomenon in images of many space-borne multi-sensor, airborne multi-sensor and single sensor spectrometer.
存在于TDI - CCD图像中的条带噪声会影响图像的质量，降低系统的测量精度。
The existence of stripe noises influences the qualities of TDI-CCD images, and reduces the measurement accuracy of the system simultaneously.
基本目标就是要在消除条带噪声的同时，最大限度地保持图像的纹理细节信息，较好地恢复图像的原始辐射信息。
The basic objective is to effectively remove stripe noises while preserving the original image details as much as possible so that the original radiation of various objects could be obtained better.
经过验证发现，基于二维经验模态分解融合后的影像中条带状噪声得到很好的抑制。
The fusion algorithm based on the two-dimensional empirical mode decomposition can effectively remove the belt noise was proved by experiment.
经过验证发现，基于二维经验模态分解融合后的影像中条带状噪声得到很好的抑制。
The fusion algorithm based on the two-dimensional empirical mode decomposition can effectively remove the belt noise was proved by experiment.
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