摘要
本文以资源三号卫星河北省廊坊地区2A级全色遥感影像和多光谱影像数据为基础,采用遥感数字图像处理软件ERDAS IMAGINE进行了研究区域的提取,并对提取的感兴趣区进行了几何校正,即图像配准处理,然后进行了融合处理,分别采用了空间增强的分辨率融合算法、改进IHS分辨率融合算法以及小波分辨率融合算法,通过和融合前的影像进行对比,融合后的影像既保留了多光谱影像的丰富的波谱信息,同时具有了全色影像的高空间分辨率的特征,最后对比三种融合算法,得出改进的IHS分辨率融合算法效果最佳。
ZY-3 satellite remote sensing images of Langfang city, which includes PAN remote sensing image and muhispectral remote sensing image, are chosen as the data classified as 2A. And then one popular remote sensing digital image processing software, ERDAS I M A GINE,is employed to extract the research area,and then data fusion is done for the subset data. Three spatial enhancement algo- rithms of data fusion, which are resolution merge, modified IHS resolution merge and wavelet resolution merge, are practiced sepa- rately. Compared with the PAN remote sensing image and muhispectral remote sensing image, the result image after data fusion is improved in spatial resolution and meanwhile, the spectral information is kept in the result image. In the end, with the contrast among the three result images merged by means of the above three spatial enhancement algorithms, conclusion is drawn that modified IHS resolution merge algorithm brings the best effect.
出处
《北华航天工业学院学报》
CAS
2013年第6期3-6,共4页
Journal of North China Institute of Aerospace Engineering
