A Scene-based Nonuniformity Correction Algorithm for Scanning-type Infrared Camera  

作　　者：SUI Jing JIN Weiqi DONG Liquan WANG Xia 

机构地区：[1]Laboratory of Infrared Technology, Department of Opt-Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China

出　　处：《Chinese Journal of Electronics》2007年第2期281-284,共4页电子学报（英文版）

摘　　要：A scene-based nonuniformity correction algorithm for Infrared line scanner （IRLS） combining constant-statistics approach with neural networks is proposed, correcting the aggregate nonuniformity by two steps. First, the recursive channel-correction based on local constant statistics constraint is performed frame by frame. Secondly, a linear neural network added some optimization strategies is adopted to the result obtained from the first step, making the correction parameters of line sensors update column by column and generating final corrected result at one frame. Applications to both simulated and real infrared data show that the adaptive algorithm has advantages of low computational load and can achieve a higher correction level in less than 20 frames, removing striping noise effectively.

关 键 词：Nonuniformity correction Scanning Focal plane arrays Infrared Constant statistics Neural networks. 

分 类 号：TB853.29[一般工业技术—摄影技术]