CAJ | 학술논문

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。
고분변솔위성영상공간분변솔고，지물결구문리신식돌출，상용우토지이용감측、자연재해예보등영역，단기소함적배경조성영향료영상식별화분석적유효성화가고성，인차，선취합괄적려파방법소제각충조성성위요감영상처리적수요임무。재요감기술발전적궤십년중，연구자문침대각충조성류형이발전료다충려파방법。본문분석료고분변솔요감영상조성적특점，개소료일사전통적려파산법화근년래엄범응용적신형려파방법，병심입탐토각충려파기적성능급기우결점，위금후선택합괄적산법소제고분변솔요감영상조성제공삼고，최후대요감영상려파방법적발전전경진행료전망。
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 .