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应用科学学报 ›› 2011, Vol. 29 ›› Issue (5): 495-499.doi: 10.3969/j.issn.0255-8297.2011.05.009

• 信号与信息处理 • 上一篇    下一篇

采用残差估算的卫星云图压缩传感重建

金炜， 符冉迪， 叶明， 岑雄鹰， 尹曹谦   

  1. 宁波大学信息科学与工程学院，浙江宁波315211
  • 收稿日期:2010-12-16 修回日期:2011-05-22 出版日期:2011-09-28 发布日期:2011-09-30
  • 作者简介:金炜，博士，副教授，研究方向：多尺度几何分析、遥感信息处理，E-mail: xyjw1969@126.com
  • 基金资助:

    国家教育部科学技术研究重点项目基金(No.209155)；浙江省自然科学基金(No.Y1080778, No.Y1111061)；宁波市自然科学基金(No.2011A610192)；浙江省公益性技术应用研究计划项目基金(No.2010C33104)资助

Compressed Sensing Reconstruction for Satellite Cloud Images Using Residual Estimation

JIN Wei, FU Ran-di, YE Ming, CEN Xiong-ying, YIN Cao-qian   

  1. Faculty of Information Science and Technology, Ningbo University, Ningbo 315211, Zhejiang Province, China
  • Received:2010-12-16 Revised:2011-05-22 Online:2011-09-28 Published:2011-09-30

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1420

被引次数

1

摘要：

摘要： 卫星云图数据量庞大，获取、传输、存储的代价很高. 为了有效减小云图采样率及数据量，提出一种基于残差估算的压缩传感云图重建方法. 该方法首先构造一种抗混叠方向多尺度变换，用于压缩传感的稀疏表示. 借助随机投影技术将带平滑处理的投影Landweber算法引入分块压缩传感的重建过程，通过估计当前云图与前一相邻时次云图的残差获得理想的重构云图. 实验结果表明，抗混叠方向多尺度变换适用于压缩传感的稀疏表示，所采用的残差估算重建方法可明显提高重建云图的视觉效果及客观评价指标. 当测量率为0.5时，重建云图的峰值信噪比较直接重建法平均提高0.5 dB以上.

关键词: 云图重建, 压缩传感, 残差估算, 方向多尺度变换

Abstract:

Since the amount of data in satellite cloud images is huge, acquisition, transmission, and storage of satellite cloud images are costly. To reduce the amount of data, compressed sensing (CS) reconstruction for satellite cloud images is presented based on residual estimation. An aliasing-free directional multi-scale transform (AFDMT) is proposed and applied to the sparse representation of CS. With a random projection technique, the projected Landweber algorithm with a smoothing operation is introduced into reconstruction of the block-based CS recovery. High quality cloud images can be obtained by estimating the residual between the current cloud image and the previous cloud image. Experimental results show that AFDMT is applicable to the sparse representation of CS. The residual estimation scheme can improve quality of the reconstructed cloud images in terms of visual observation and objective evaluation. For example, at a measurement rate of 0.5, peak signal to noise ratio of the reconstructed image is increased by more than 0.5 dB in average compared with direct reconstruction methods.

Key words:  cloud image reconstruction, compressed sensing, residual estimation, directional multi-scale transform

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