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Application of a special JBIG processor to compression of Earthobservation images,

机译:特殊的JBIG处理器在压缩地球观测图像中的应用,

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Abstract: The large size is a typical feature of earth observation images. The increasing number of bands simultaneously available on satellites and the launch of system able to achieve a ground resolution as low as one meter is making this problem more a nd more hot. Indeed, the large size of typical images dramatically reduces the possibility to distribute them to a wide number of interest parties. In the wide majority of cases, this problem is currently tackled either by using lossy compression schemes such as basic versions of JPEG or by narrowing the ground extension of the pictures. Of course, both of them are unsatisfactory. Indeed, the partial loss of data may be acceptable only for non-quantitative analysis while narrower pictures may not carry all the needed informant. An alternate possibility is the use of an efficient lossless algorithm. Among others, JBIG has been preferred for this purpose because it achieves very high compression rate, overperforming the well known ZIP algorithm in the wide majority of cases. Further advantages are due to its progressive nature and to its availability as an ITU international standard. In order to have a very performant syste, this algorithm has been implemented by the development of an application specific integrated circuit designed to compress/decompress large volumes of data with throughput rate greater than 1 Gb/min. The performances achieved by the system when dealing with typical visual and radar satellite images and the perspective applications are described. !3
机译:摘要:大尺寸是地球观测图像的典型特征。卫星上同时可用的频带数量不断增加,以及能够实现低至一米的地面分辨率的系统的发射,使这一问题越来越严重。确实,典型图像的大尺寸极大地降低了将其分发给众多利益相关方的可能性。在大多数情况下,当前的问题是通过使用有损压缩方案(例如JPEG的基本版本)或通过缩小图片的地面延伸范围来解决的。当然,它们都不令人满意。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,而较窄的图片可能未包含所有需要的信息。另一种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渐进性和作为国际电联国际标准的可用性。为了拥有一个非常高效的系统,该算法已通过开发专用集成电路来实现,该专用集成电路设计为以大于1 Gb / min的吞吐速率对大量数据进行压缩/解压缩。描述了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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