SAR复图像数据的CCSDS-IDC编码性能分析与四叉树编码
发布时间：2018-07-14 08:27
【摘要】：目的 CCSDS-IDC(国际空间数据系统咨询委员会-图像数据压缩)是NASA制定的基于离散小波变换(DWT)尺度间衰减性的空间图像数据压缩标准,适用于合成孔径雷达(SAR)幅度图像及各类遥感图像的压缩。然而,与光学图像不同,常见的SAR图像都是复图像数据,其在干涉测高等许多场合具有广泛应用,分析研究CCSDSIDC对SAR复图像数据的编码性能具有重要的应用价值。方法由于SAR复图像数据不具有尺度间的衰减性,因此将其用于SAR复图像数据编码时性能较低。考虑到SAR复图像数据离散小波变换(DWT)系数呈现出聚类特性,提出将四叉树(QC)用于DWT域的SAR复图像数据编码,发现QC对SAR复图像数据具有高效的压缩性能。结果实验结果表明,在同等码率下,对基于DWT的SAR复图像数据压缩,QC比CCSDS-IDC最多可提高幅度峰值信噪比4.4 dB,平均相位误差最多可降低0.368;与基于方向提升小波变换(DLWT)的CCSDS-IDC相比,QC可提高峰值信噪比3.08 dB,降低平均相位误差0.25;对其他类型的图像压缩,基于聚类的QC仍能获得很好的编码性能。结论 CCSDS-IDC对SAR复图像数据编码性能低下,而QC能获得很好的编码性能。对应于图像平滑分布的尺度间衰减性,其在某些特殊图像中可能不存在,而对应于图像结构分布的聚类特性总是存在的,故在基于DWT的图像编码算法设计中,应优先考虑利用小波系数的聚类特性,从而实现对更多种类图像的高效编码。
[Abstract]:Objective CCSDS-IDC (International Spatial data system Advisory Committee-Image data Compression) is a standard for spatial image data compression based on discrete wavelet transform (DWT) scale attenuation. It is suitable for the compression of synthetic Aperture Radar (SAR) amplitude images and all kinds of remote sensing images. However, unlike optical images, the common SAR images are complex image data, which are widely used in many occasions such as interferometric altimetry. It is of great value to analyze and study the encoding performance of CCSDSIDC for SAR complex image data. Methods because SAR complex image data do not have the attenuation between scales, the performance of SAR complex image data coding is low. Considering the clustering characteristics of discrete wavelet transform (DWT) coefficients of SAR complex image data, a quadtree (QC) is proposed to encode complex SAR image data in DWT domain. It is found that QC has high compression performance for SAR complex image data. Results the experimental results show that, under the same code rate, Compared with CCSDS-IDC, the maximum amplitude to noise ratio can be increased by 4.4 dB, and the average phase error can be reduced by 0.368, compared with CCSDS-IDC based on directional lifting wavelet transform (DLWT), the peak signal-to-noise ratio can be increased by 3.08 dB, and the average phase error can be reduced by using DWT-based CCSDS-IDC. Low average phase error 0. 25; for other types of image compression, QC based on clustering can still achieve good coding performance. Conclusion CCSDS-IDC has poor performance in SAR complex image coding, while QC can achieve good coding performance. Due to the inter-scale attenuation of image smoothing distribution, it may not exist in some special images, but the clustering property corresponding to image structure distribution always exists, so in the design of image coding algorithm based on DWT, Priority should be given to the clustering characteristics of wavelet coefficients in order to achieve efficient coding of more kinds of images.
【作者单位】： 西安交通大学电子与信息工程学院;高通公司圣地亚哥研究院;
【基金】：国家自然科学基金项目(61373113) 中央高校基本科研业务费专项资金项目(xjj2012023)
【分类号】：TN957.52
本文编号：2121059
[Abstract]:Objective CCSDS-IDC (International Spatial data system Advisory Committee-Image data Compression) is a standard for spatial image data compression based on discrete wavelet transform (DWT) scale attenuation. It is suitable for the compression of synthetic Aperture Radar (SAR) amplitude images and all kinds of remote sensing images. However, unlike optical images, the common SAR images are complex image data, which are widely used in many occasions such as interferometric altimetry. It is of great value to analyze and study the encoding performance of CCSDSIDC for SAR complex image data. Methods because SAR complex image data do not have the attenuation between scales, the performance of SAR complex image data coding is low. Considering the clustering characteristics of discrete wavelet transform (DWT) coefficients of SAR complex image data, a quadtree (QC) is proposed to encode complex SAR image data in DWT domain. It is found that QC has high compression performance for SAR complex image data. Results the experimental results show that, under the same code rate, Compared with CCSDS-IDC, the maximum amplitude to noise ratio can be increased by 4.4 dB, and the average phase error can be reduced by 0.368, compared with CCSDS-IDC based on directional lifting wavelet transform (DLWT), the peak signal-to-noise ratio can be increased by 3.08 dB, and the average phase error can be reduced by using DWT-based CCSDS-IDC. Low average phase error 0. 25; for other types of image compression, QC based on clustering can still achieve good coding performance. Conclusion CCSDS-IDC has poor performance in SAR complex image coding, while QC can achieve good coding performance. Due to the inter-scale attenuation of image smoothing distribution, it may not exist in some special images, but the clustering property corresponding to image structure distribution always exists, so in the design of image coding algorithm based on DWT, Priority should be given to the clustering characteristics of wavelet coefficients in order to achieve efficient coding of more kinds of images.
【作者单位】： 西安交通大学电子与信息工程学院;高通公司圣地亚哥研究院;
【基金】：国家自然科学基金项目(61373113) 中央高校基本科研业务费专项资金项目(xjj2012023)
【分类号】：TN957.52
【共引文献】
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