红外与毫米波学报2017，Vol.36Issue(3)：283-288,6.DOI:10.11972/j.issn.1001-9014.2017.03.007
基于压缩感知和红外玫瑰线扫描的红外图像重构
Infrared image reconstruction based on compressed sensing and infrared rosette scanning
摘要
Abstract
Infrared (IR) sub-imaging guidance technique,which combines the single detector and optical scanning device,is a transition from point-source detection technique to imaging guidance technique.Infrared rosette scan sub-imaging system (IRSSIS) is a class of sub-imaging guidance system.The IRSSIS samples part data of the field of view (FOV) according to a specific pattern and obtains a sub-image including the position information of targets.Compressive imaging in the IRSSIS was studied inspired by the single pixel camera.Compressed sensing (CS) will help to reconstruct IR image in the condition of much fewer samples.The key problem of CS applied to the IRSSIS is the measurement matrix construction.While random measurement matrix has been studied intensively,it is hard to implement.A simple deterministic measurement matrix was proposed for the IRSSIS.Furthermore,a fast and effective recovery algorithm,optimized subspace pursuit algorithm (OSP),was proposed.Simulation results show that the proposed measurement matrices can compress and reconstruct IR image prior to the random Gaussian measurement matrices and random Bernoulli measurement matrices.The proposed recovery algorithm also has a better performance.关键词
压缩感知(CS)/红外玫瑰线扫描亚成像系统(IRSSIS)/确定性观测矩阵/优化子空间追踪算法(OSP)Key words
compressed sensing (CS)/infrared rosette scan sub-imaging system (IRSSIS)/deterministic measurement matrices/optimized subspace pursuit algorithm (OSP)分类
信息技术与安全科学引用本文复制引用
蒋伊琳,佟岐,郜丽鹏,王海艳,汲清波..基于压缩感知和红外玫瑰线扫描的红外图像重构[J].红外与毫米波学报,2017,36(3):283-288,6.基金项目
Supported by National Natural Science Foundation of China (61571146),and Natural Science Foundation of Heilongjiang Province of China (F201407) （61571146）
