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Application of a special JBIG processor to compression of Earth observation images

机译:特殊的JBIG处理器在地球观测图像压缩中的应用

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Abstract: The large size is a typical feature of earthobservation images. The increasing number of bandssimultaneously available on satellites and the launchof system able to achieve a ground resolution as low asone meter is making this problem more a nd more hot.Indeed, the large size of typical images dramaticallyreduces the possibility to distribute them to a widenumber of interest parties. In the wide majority ofcases, this problem is currently tackled either byusing lossy compression schemes such as basic versionsof JPEG or by narrowing the ground extension of thepictures. Of course, both of them are unsatisfactory.Indeed, the partial loss of data may be acceptable onlyfor non-quantitative analysis while narrower picturesmay not carry all the needed informant. An alternatepossibility is the use of an efficient losslessalgorithm. Among others, JBIG has been preferred forthis purpose because it achieves very high compressionrate, overperforming the well known ZIP algorithm inthe wide majority of cases. Further advantages are dueto its progressive nature and to its availability as anITU international standard. In order to have a veryperformant syste, this algorithm has been implementedby the development of an application specificintegrated circuit designed to compress/decompresslarge volumes of data with throughput rate greater than1 Gb/min. The performances achieved by the system whendealing with typical visual and radar satellite imagesand the perspective applications are described. !3
机译:摘要:大尺寸是对地观测图像的典型特征。越来越多的卫星上同时可用的频带以及能够实现低至一米的地面分辨率的发射系统使这一问题变得越来越严重。事实上,典型图像的大尺寸极大地减少了将其分布到大量图像中的可能性。利益相关方。在大多数情况下,当前的问题是通过使用诸如JPEG基本版本之类的有损压缩方案或通过缩小图片的地面扩展范围来解决的。当然,两者都不尽如人意。实际上,部分数据丢失可能仅对于非定量分析是可以接受的,而较窄的图片可能无法包含所有需要的信息。一种替代可能性是使用有效的无损算法。其中,JBIG已被推荐用于此目的,因为它实现了很高的压缩率,在大多数情况下都优于众所周知的ZIP算法。进一步的优势归因于它的进步性和作为国际电联国际标准的可用性。为了具有非常出色的系统性能,该算法已通过开发专用集成电路来开发,该集成电路设计用于对吞吐速率大于1 Gb / min的大量数据进行压缩/解压缩。描述了该系统在处理典型的视觉和雷达卫星图像时的性能以及透视应用。 !3

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