高分辨率遥感影像滤波算法综述

摘要

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 .%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。