摘要
遥感图像融合的关键就是选择合适的融合方法,恰当的融合方法可在提高图像空间信息的同时,能很好地保持多光谱影像的光谱特性。从应用的角度出发,利用ENVI 4.5、PCI 9.0、ERDAS 9.1和PhotoShop四种软件平台对快鸟卫星(QuickBird)数据进行了融合实验研究,并对相应的融合结果进行了讨论与分析,希望为同类作业者提供借鉴。结果表明,格拉姆-施密特(Gram-schmidt)正交化变换法和彩色合成(PanSharp)方法在提高影像空间分辨率的同时,还较好地保持了多光谱波段的光谱信息,并且色彩信息更符合人的视觉习惯。
The sticking point of image fusion is to select the appropriate fusion method.The right method not only improves the spatial details of panchromatic images but also preserves the spectral information of multispectral bands.The paper studies every image fusion algorithm applied by four image processing software：Envi 4.5,PCI 9.0,ERDAS 9.1 and PhotoShop,the corresponding experiment results are discussed and analyzed.The results show that the QuickBird images fused by Gram-Schmidt transform and PanSharp transform represent almost the same color as the original multispectral images and the same details as the original panchromatic images,and the color answers for people＇s vision habit.
出处
《无线电工程》
2011年第6期19-21,42,共4页
Radio Engineering
