为分析CCD 传感器噪声对遥感影像无损压缩的影响,选取ISO/IEC 标准图像和UK-DMC 多光谱影像作为测试图像,根据CCD 传感器噪声模型,在测试图像上添加CCD 传感器模拟噪声,采用JPEG2000-Lossless 无损压缩算法对不同污染程度的噪声图像进行压缩处理,并对不同污染程度的噪声影像无损压缩比进行比较分析。而后,在多光谱遥感影像上添加模拟的混合噪声,分析CCD 噪声对星地间数据传输效率的影响。实验结果表明,CCD 传感器噪声对所获取影像的污染会降低遥感影像的无损压缩比和星地间数据传输效率,以泊松噪声为模型的散粒噪声与读出噪声对影像无损压缩的影响最大,以高斯噪声为模型的热噪声与暗电流噪声的影响次之,由于CCD 器件工艺问题引发的脉冲噪声对无损压缩的影响最小。

To undertake analysis of CCD noise effect on lossless compression of remote sensing images, ISO/IEC standard images and UK-DMC multispectral images were selected. The ISO/IEC standard test images were encoded with JPEG2000-lossless compression method after being contaminated with different levels of simulated CCD noise based on CCD noise model. Using the encoded noise image, the change of compression ratios of the images with different noise levels was investigated. Furthermore, the analysis of noise effect on data transmission efficiency was undertaken by using noise-contaminated multispectral images. Based on experimental results, it is indicated that the compression ratio and data transmission efficiency will decrease once the image is contaminated by CCD noise. With regard to CCD noise, the shot and readout noise modeled as Poisson noise and thermal and dark current noise modeled as Gaussian noise are principal factors for the decrease of lossless compression efficiency. The impulse noise induced by detector malfunction has the least effect on the decrease of lossless compression efficiency.