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Method for reducing the redundancy of optoelectronic remote Earth-probing data based on the restructuring of gray-scale images

机译:基于灰度图像的重组降低光电远程地球探测数据冗余的方法

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摘要

This paper proposes a redundancy-reduction (compression) method for the remote Earth-probing data of gray-scale images. This method is based on an image-restructuring prototype and principal component analysis. A technique is developed for analyzing the quality of the redundancy-reduction method for remote-probing data, based on which the method developed here is compared with existing data-compression standards used with remote probing. It is shown that the results of this data-redundancy-reduction method have better quality than those of analogous methods. Particular recommendations are formulated for using this method. (C) 2018 Optical Society of America
机译:本文提出了灰度图像远程地球探测数据的冗余减少(压缩)方法。 该方法基于图像重组原型和主成分分析。 开发了一种技术,用于分析用于远程探测数据的冗余减少方法的质量,基于此处开发的方法与远程探测使用的现有数据压缩标准进行比较。 结果表明,这种数据冗余减少方法的结果具有比类似方法的更好的质量。 使用此方法配制了特定的建议。 (c)2018年光学学会

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