摘要
合成孔径雷达技术是遥感技术的一项重大突破,全天时、全天候的成像能力已经成为对地观测的主要手段,极大提高了观测效率,但如何对SAR影像进行高效准确去噪是目前急需解决的问题。文中从分析PALSAR影像的噪声产生机理出发,利用常见的滤波方法如均值滤波、中值滤波、Lee滤波、增强的Lee滤波、Frost滤波、增强的Frost滤波、Gamma滤波、Kuan滤波对PALSAR进行滤波实验,分析比较各种滤波算法的优劣及适用性。
SAR（Synthetic aperture radar） technology is a major breakthrough ot remote sensing tecnnology, because of which all clay long observation has become the main method to the ground. The technology greatly improves the efficiency of the observation, but how to remove noise from SAR image accurately and efficiently has been a problem at present. It presents the noise generating mechanism o{ PALSAR image, using common filtering methods such as mean filtering, median filtering, Lee filtering, enhanced I.ee filtering, Frost filtering, enhanced Frost filtering, Gamma filtering, Kuan filtering on the PALSAR filtering experiment, and analyzes the superiority and applicability of various filtering algorithms.
出处
《测绘工程》
CSCD
2013年第1期16-20,共5页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(40701103)
亚热带建筑科学国家重点实验室开放研究项目(2011KB11)
