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A wavelet transform coder supporting browsing and transmission of sea ice SAR imagery

机译:一种支持浏览和传输海冰SAR图像的小波变换编码器

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摘要

A wavelet-transform-based algorithm for sea ice synthetic aperture radar (SAR) image data compression is presented. Compression of the relatively low resolution (100 m) SAR data is necessary to enable the transmission of such images from the Finnish Ice Service to users in the Baltic Sea. On board the ships, the SAR images are used for navigation purposes. Hence, in the visual appearance of the compressed image, special attention must be paid to the sharpness of small details. Several target-dependent features are incorporated in the compression scheme developed. The addition of these features was motivated by an examination of the wavelet coefficient statistics for the SAR data. In the quantization phase, the sensitivity characteristics of the human visual system were taken into account. As a result, the proposed algorithm deviates in several respects from the standard procedures used in wavelet-based compression. The algorithm requires the setting up of multiple user-defined parameters to satisfy the requirements of the users and data. This requires supervision of an expert, but also makes it flexible for many kinds of data and user requirements. The algorithm presented gives satisfactory results with a compression ratio of 20:1. Since only the location of ice-covered areas is of significance for ship traffic, the algorithm introduced contains an option to mask off open sea areas with the aid of an automatic open-water detection procedure. We also report the results of a user evaluation, in which the proposed algorithm is compared to the algorithm currently used by the Finnish Ice Service, as well as to the JPEG standard. The results of the evaluation favor the use of the proposed algorithm.
机译:提出了一种基于小波变换的海冰合成孔径雷达图像数据压缩算法。为了使这样的图像从芬兰冰服务局传输到波罗的海用户,必须压缩相对较低分辨率(100 m)的SAR数据。在船上,SAR图像用于导航目的。因此,在压缩图像的视觉外观中,必须特别注意小细节的清晰度。在开发的压缩方案中并入了一些与目标相关的功能。这些特征的添加是通过检查SAR数据的小波系数统计数据来激发的。在量化阶段,考虑了人类视觉系统的灵敏度特征。结果,提出的算法在几个方面与基于小波的压缩中使用的标准过程有所不同。该算法需要设置多个用户定义的参数,以满足用户和数据的需求。这需要专家的监督,但也使其对于多种数据和用户要求具有灵活性。提出的算法以20:1的压缩比给出令人满意的结果。由于只有冰雪覆盖的区域的位置对船舶交通具有重要意义,因此引入的算法包含一个选项,可以借助自动的开阔水域检测程序掩盖开阔海域。我们还报告了用户评估的结果,其中将拟议的算法与芬兰冰服务局当前使用的算法以及JPEG标准进行了比较。评估结果有利于所提出算法的使用。

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