基于人类视觉特性的遥感图像优化显示及应用

在分析遥感图像主观质量（Subjectivequality）评价的基础上，提出基于人类视觉特性的优化显示技术．并应用于遥感图像压缩、相对辐射校正评价和噪声估计。结果表明：当图像以50％比例放大时，处理前后的效果不明显：以100％比例放大时，差异性开始出现；当显示比例提高到200％时，图像的噪声、条纹及退化现象比较容易发现与识别。因此，当需要比较两幅图像差异及监测图像质量变化时，建议显示比例设为200％。上述成果已成功应用于CBERS-02B卫星HR相机及后续高分辨率相机压缩方案的评价，也用于中国卫星遥感地面处理系统的图像质量监测。

Optimal Display of Remote Image Based on HVS and Its Applications

Optimal display technique based on HVS is put forward on the basis of subjective quality assessment of remote sensing image. This technique is applied in remote sensing image compression, relative radiometric correction assessment and noise estimation. It is showed that when the display proportion is 50%, the display effect is not obvious; while the display proportion is 100%, the difference turned to be clear; and when the display proportion reaches 200%, the noise, stripe and degeneration are easily found and discriminated. So, for comparing the difference between two images and monitoring the image quality changes, a 200% display proportion is proposed. The above-mentioned result is successfully put into use in the compression assessment on CBERS-02B and subsequent HR camera. At the same time, it is also used in the image quality monitoring of the domestic satellite remote sensing ground processing system.