SHAO Zhenfeng, LIU Jun, LI Deren. A New Spatial Projection Image Fusion Method Based on Gaussian Image Cube[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1207-1211.
Citation:
SHAO Zhenfeng, LIU Jun, LI Deren. A New Spatial Projection Image Fusion Method Based on Gaussian Image Cube[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1207-1211.
SHAO Zhenfeng, LIU Jun, LI Deren. A New Spatial Projection Image Fusion Method Based on Gaussian Image Cube[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1207-1211.
Citation:
SHAO Zhenfeng, LIU Jun, LI Deren. A New Spatial Projection Image Fusion Method Based on Gaussian Image Cube[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1207-1211.
1State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China
To make sure that the fused multispectral image keeps greatly the spectral characteristics of the original multispectral(MS) image and most likely to improve the spatial resolution,this paper introduces the technology of Gaussian scale space that can simulate the mechanism of human visual and proposes a spatial projection method based on Gaussian image cube.The proposed method can improve the spatial resolution of the fused MS image effectively,while it can make little spectrum distortion to the fused images.The experimental results of fusing QuickBird remote sensing images show that,comparing to traditional methods,the method proposed in this paper has a distinct advantage in subjective visual experience,spectral deviation,correlation coefficient,UIQI,ERGAS and Run-time indicators.