摘要
针对基于统计量的辐射相对定标的不足之处,提出了一种基于小波提升分解的小波变换算法,以解决时间序列上的MODIS遥感图像的辐射定标问题。该方法使用不同年限获取的MODIS卫星影像分别进行提升小波分解,对低频信号进行灰度辐射定标后再与高频信号重构,通过提升小波逆变换得到结果图像,实验结果表明效果较好。
A wavelet transform algorithm is put forward in this paper based on wavelet lifting transform by comparing several kinds of relative radiometric calibration methods,and a gap of relative radiometric calibration method is supplied that is a traditional popular method based on statistical data.Multi-temporal MODIS remotely sensed data were decomposed,using wavelet lifting transform,to get low-frequency and high-frequency sub images.Reconstruction is carried out after radiometric calibration of low-frequency sub image.Finally,the composite image is obtained by reversing transform to work low-frequency sub image and original high-frequency sub image.Experimental results show that the above method is better than others.
出处
《遥感信息》
CSCD
2010年第2期49-52,共4页
Remote Sensing Information
基金
云南省省院省校科技合作项目(2005YX27)
云南省教育厅项目(07C10429)
关键词
辐射定标
小波提升变换
相对辐射校正
radiometric calibration
wavelet lifting transform
relative radiometric correction
