基于场景的红外焦平面阵列非均匀性评价方法

针对红外遥感图像非均匀性的定量评价问题,研究了基于场景的红外焦平面阵列响应非均匀性的定量评价方法。利用真实红外遥感图像序列量值分布的特点,针对小序列图像提出了基于序列排序和小波变换的标准图像构建算法;结合非均匀性评价指标,提出了利用构建标准图像的响应非均匀性对红外图像的非均匀性进行定量估计;分别利用黑体定标实验和统计方法对标准图像构建算法进行了验证,同时进行了不同校正算法的剩余非均匀性评价实验。结果表明,128frame序列构建得到的标准图像的非均匀性分别比同温黑体图像小0.92%,比统计标准图像大0.59%。该方法可用于定量估计红外遥感图像的非均匀性。

Scene-Based Assessment Method for Nonuniformity of Infrared Focal Plane Array

Aiming at quantitative assessment of nonuniformity of infrared focal plane array (IRFPA), a scene-based assessment method is researched. First of all, distribution characteristics of remote sensing image sequence are analyzed by real remote data, an assessment method by constructing standard image based on sequence sorting and wavelet transform is proposed for small image sequence. Then, combined past assessment method for nonuniformity, response nonuniformity of constructed standard image is proposed. Finally the algorithm of construction standard image is verified by blackbody radiometric calibration method (BRCM) and statistical method separately. And this assessment method for nonuniformity is used in image sequence using different scene-based nonuniformity correction. The experimental results show that for the standard images constructed by two groups of image sequences of 128 frame, the nonuniformity calculated by new method is 0.92% less than that of BRCM, and 0.59% more than that of statistical method, respectively. This assessment method can assess the nonuniformity of infrared remote sensing image.