An Improved CSO Resolution Method for IR Sensor based on Pixel-cluster Decomposition

摘要：

　　The observation of Closely Spaced Object (CSO) using a space-based IR sensor can result in merged measurements on the focal plane due to the limited resolution and the Point Spread Function (PSF) of optics.This paper proposes an improved CSO resolution method based on pixel-cluster decomposition meeting real-time computation requirement.Simulation are carried out to test the performance of the method,and the results confirm its effectiveness.

关键词： Closely Spaced Objects Fuzzy C-Means clustering Point Spread Function Infrared Sensor Bayesian Information Criterion

作者: Hui Zhang Hui Xu Yang Xu

作者单位: School of Electronic Science and Engineering National University of Defense Technology Changsha,P.R.China

会议类型: 国际会议

会议名称: 2012 International Meeting on Opto-Electronics Engineering and Materials Research(OEMR2012)(2012光电工程与材料国际会议)

会议地点: 沈阳

会议语种:英文

页码: 486-490

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）