摘要
条带噪声是影响MODIS影像质量的一个重要因子。分析了MODIS条带噪声形成的主要原因和特点,比较了几种常用条带噪声去除方法及其局限性,着重提出和改进了利用傅立叶变换法、小波变换法和插值法去除MODIS影像条带噪声。上述3种方法都能在一定程度上去除MODIS影像条带噪声。对实验结果的均值、标准偏差以及边缘保留的比较结果表明,在去除MODIS影像条带噪声方面,插值法优于小波变换,而小波变换优于傅立叶变换。
Stripe noise is one of the most important factors, which influence the qualities of MODIS 1B images. In this paper, the main causes and the characteristics of the stripe noises in MODIS 1B images are deeply analyzed. To remove the stripe noises, three kinds of algorithms, the improved Fourier Transform, Wavelet Transform and the Interpolation Algorithm, are developed based on the above analysis. On academic level, the abilities to remove the stripe noises and their limitations are compared. Analyzed from the processed results, the three kinds of algorithms can more or less remove the stripe noises in MODIS 1B images, but have great differences among them: the improved Fourier Transform has more influences on non-noises region than the other two and the Interpolation Algorithm has the less negative influences on MODIS 1B images in removing the stripe noises. Based on the comparation of the mean value, standard deviation and the edge information of the images processed by above three kinds of algorithms, the conclusion that in removing the MODIS stripe noises, the improved Interpolation Algorithm is the best, and the Wavelet Transform is better than the Fourier Transform can be made.
出处
《遥感技术与应用》
CSCD
2003年第6期393-398,共6页
Remote Sensing Technology and Application
基金
中国科学院知识创新工程重大项目(KZCX1-SW-01)
国家重点基础研究发展规划项目(G2000077900)资助。
