高分辨率遥感影像滤波算法综述

Summary of High Resolution Remote Sensing Image Filtering Algorithms

高分辨率卫星影像空间分辨率高,地物结构纹理信息突出,常用于土地利用监测、自然灾害预报等领域,但其所含的背景噪声影响了影像识别和分析的有效性和可靠性,因此,选取合适的滤波方法消除各种噪声成为遥感影像处理的首要任务。在遥感技术发展的几十年中,研究者们针对各种噪声类型已发展了多种滤波方法。本文分析了高分辨率遥感影像噪声的特点,介绍了一些传统的滤波算法和近年来广泛应用的新型滤波方法,并深入探讨各种滤波器的性能及其优缺点,为今后选择合适的算法消除高分辨率遥感影像噪声提供参考,最后对遥感影像滤波方法的发展前景进行了展望。

With high spatial resolution, prominent feature structure and texture information, high resolution satellite imagery commonly use in the field such as land use monitoring and natural disaster forecasting. However, the containing background noise in high resolu- tion satellite imagery affects the validity and reliability of the image recognition and analysis. Therefore, selecting the appropriate filte- ring to eliminate all kinds of noise has become the primary task of remote sensing image processing. In the decades of the development of remote sensing technology, researchers have developed a variety of filtering methods for various types of noise. In summary, first a- nalysis the characteristics of the high resolution remote sensing image noise, then introduces several traditional filtering methods and some new filtering methods widely used in recent years, and delve into the performance, advantages and disadvantages of the various filters, provide a reference for the future selecting of the appropriate algorithm to eliminate the high resolution remote sensing image noise, finally is the prospect for remote sensing image filtering method development.