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首页> 外文期刊>Network Daily News >Data on Engineering Detailed by Researchers at Indian Institute of Technology (IIT) Patna (Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework)
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Data on Engineering Detailed by Researchers at Indian Institute of Technology (IIT) Patna (Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework)

机译:工程研究人员详细的数据印度理工学院(IIT)巴特那在学习型(贝叶斯方法高光谱图像去噪框架)

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By a News Reporter-Staff News Editor at Network Daily News – Current study results on engineering have been published. According to news reporting originating from Patna, India, by NewsRx correspondents, research stated, “Hyperspectral images (HSI) are corrupted by a combination of Gaussian and impulse noise. Successful denoising of HSI data increases the accuracy of high-level vision operations like classification, target tracking and land-cover problem.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究结果在工程已经出版。由NewsRx来自巴特那,印度记者,研究指出,“高光谱图像(HSI)损坏的结合高斯和脉冲噪声。恒生指数数据增加高层的准确性视觉操作,比如分类、目标跟踪和覆盖问题。”

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