Image quality assessment metrics with Radon transform

Author(s):  
Jianxin Pang ◽  
Rong Zhang ◽  
Hui Zhang ◽  
Xuan Huang ◽  
Zhenkai Liu
2008 ◽  
Vol 6 (7) ◽  
pp. 491-494 ◽  
Author(s):  
庞建新 Jianxin Pang ◽  
张荣 Rong Zhang ◽  
张晖 Hui Zhang ◽  
黄轩 Xuan Huang ◽  
刘政凯 Zhengkai Liu

Author(s):  
M. A. Günen

Abstract. Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral images are widely used in GIS applications. In this study, it is aimed to increase the spatial resolution of the RASAT and Landsat-8 multispectral satellite images with synthetic Sentinel-2 panchromatic data. Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties. Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.


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