期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：1
页码：1032
DOI：10.15680/IJIRSET.2016.0501055
出版社：S&S Publications
摘要：The project presents different methods to improve the quality of images obtained from earth observationsatellite systems. It involves different approaches that are, NSCT with different levels of decomposition next NSCTwith upsampling based pixel level fusion and last one is based on Curvelet based image fusion. NSCT is very efficientin representing the directional information and capturing intrinsic geometrical structures of the objects. It hascharacteristics of high resolution, shift-invariance, and high directionality. An integration of high spatial resolutionextracted from PAN images into the high spectral resolution of MS images generates both high spatial and spectralresolution [1] pan sharpened image. Here, a given number of decomposition levels are used for multispectral imageswhile a higher number of decomposition levels are used for Pan Images relatively to the ratio of the Pan Pixel size tothe MS pixel size. This preserves both spectral and spatial qualities while decreasing computation time. By applying upsampling after NSCT, structures and detail information of the MS images are more likely to be preserved. Hence, pansharpeningis done by fusing it with detail information provided by the Pan image at the same fine level. The systemsimulated result shows that used method provides better resolution in these images rather than prior approaches and italso measured the performance parameters such as correlation, PSNR and standard deviation.
关键词：Pre-processing; Sub-band decomposition using different transforms; Parameter analysis (PNSR; MSE;and all).
