国土资源遥感Issue(4)：71-77,7.DOI:10.6046/gtzyyg.2014.04.12
SPOT6遥感图像融合方法比较研究
Comparative study of image fusion algorithms for SPOT6
摘要
Abstract
SPOT6 is a new remote sensing satellite launched in 2012 , with the characteristics of high spatial resolution and strong acquisition capability. However, a complete data preprocessing technology for the regulation of land resources has not yet been formed. According to the characteristics of SPOT6 satellite images, four different image fusion methods of Gram - Schmidt, HPF, Pansharp and PanSharpening were selected to conduct the experiment of comparison by using the software platforms of ENVI, ERDAS and PCI. For evaluating the results'performances, the authors compared them in three aspects. The image quality of experiment results was evaluated qualitatively and also assessed quantitatively by establishing evaluation indexes including mean,standard deviation, information entropy, average gradient and correlation coefficient. The application result of fused images was evaluated based on the evaluation of the classification accuracy. The analytical results show that these algorithms would work in different ways and could be used in different applications. The results achieved by the authors can provide the technical support for application of SPOT6 image to the land resources management.关键词
SPOT6/图像融合/评价Key words
SPOT6/image fusion/evaluation分类
信息技术与安全科学引用本文复制引用
郭蕾,杨冀红,史良树,战鹰,赵冬玲,张超,孙家波,季佳佳..SPOT6遥感图像融合方法比较研究[J].国土资源遥感,2014,(4):71-77,7.基金项目
中国土地勘测规划院业务项目“SPOT6卫星数据在土地调查与监测中的应用研究”(编号:201209109374)资助。 （编号:201209109374）
