利用MSE和PSNR生成高分辨率图像的超分辨率算法性能评价

P. Murugan, V. Gautam, V. Ramanathan
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引用次数: 0

摘要

近年来,各个领域对高空间分辨率遥感数据的需求急剧增加。高分辨率卫星遥感数据是利用长焦距光学系统在低空条件下获得的。由于高分辨率光学系统的制作和在卫星上的安装是一项具有挑战性的任务,人们正在探索各种替代方法来获得高分辨率图像。高分辨率数据也可以通过超分辨率技术获得。超分辨率技术利用单个或多个低分辨率错配数据集生成高分辨率数据集。超分辨率技术采用了多种算法来获得高空间分辨率。本文比较了重叠和交织两种方法,并介绍了它们产生高分辨率数据的能力。
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Performance evaluation of super resolution algorithms in generating high resolution images using MSE and PSNR
In recent days, requirement of high spatial resolution remote sensing data in various fields has increased tremendously.  High resolution satellite remote sensing data is obtained with long focal length optical systems and low altitude. As fabrication of high-resolution optical system and accommodating on the satellite is a challenging task, various alternate methods are being explored to get high resolution imageries. Alternately the high-resolution data can be obtained from super resolution techniques. The super resolution technique uses single or multiple low-resolution mis-registered data sets to generate high resolution data set.  Various algorithms are employed in super resolution technique to derive high spatial resolution. In this paper we have compared two methods namely overlapping and interleaving methods and their capability in generating high resolution data are presented.
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