摘要
对近年来小波在遥感图像分析领域内的应用进行了分类研究,分析了小波变换算法在遥感图像压缩编码、融合、边缘检测与纹理信息提取等方面应用的特点和有效性,比较了这些算法的优点,并对小波分析在遥感图像中的发展趋势和一些尚待解决的问题进行了探讨。
This paper studied the latest applications in the field of remote sensing image analysis based on wavelet using classification method. The characteristics and validity of wavelet analysis in remote sensing image processing, such as image compression and coding, remote sensing image fusion, image edge detecting and texture information extracting were analyzed. Application tendency of wavelet in remote sensing is discussed, and some problems about image processing with wavelet analysis, which have not been solved, are also presented.
出处
《遥感信息》
CSCD
2009年第1期93-99,共7页
Remote Sensing Information
关键词
小波分析
图像压缩
图像融合
图像去噪
wavelet analysis
image compression
image fusion
image de-noise
