Algorithm for Point Target Detection With Extreme Wide Angle Staring Infrared Imaging System

摘要：

The paper builds the models of background, noise and target in fish-eye lenses or extreme wide-angle staring Imaging fields of view. It uses difference method every two frames to generate new consecutive frames and self adapting threshold division To remove White noise and rationally segment image after suppressing the background,. According to characteristics of noise is random distribution, degree of correlation is low, and target is high correlative, the paper describes a Logical And method to separate target from residual noise, which can cumulate point target trajectories, strengthen target contrast intensity, improve its sign-to-noise ratio. Experiment and simulation have been done in the field and laboratory. The result indicates this algorithm is effective to detect multi-pixel targets whose velocities are between 0.2 to 1 pixels per frame and sign-to-noise ratio are 3 or less.

关键词： Fish eye-lenses and extreme wide-angle lenses staring infrared imaging point target detection difference filter

作者: Jin Ali Wang Yongzhong Hu Wengang Zhao Hongbin

作者单位: Department of optics and Electronic Engineering, Ordnance Engineering College, Shijiazhuang Hebei, 050003

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）