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정규화(regularization)을 이용한 RMC 영상화 알고리즘의 성능 향상
신영준(Youngjun Shin),김기현(Geehyun Kim),이계민(Gyemin Lee) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
Detecting orphan radiation sources poses important issues for national security and international nuclear safety. In this paper, we propose an improved image reconstruction algorithm using a regularization method. The proposed algorithm increases the sparsity in the reconstructed RMC images. To demonstrate the proposed algorithm, we performed Monte-Carlo experiments. Our algorithm successfully reduces the artifacts and improves the quality of the RMC images.
회전 변조 시준기(RMC) 데이터와 영상화 알고리즘 시뮬레이션
신영준(Youngjun Shin),김기현(Geehyun Kim),이계민(Gyemin Lee) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.11
Rotating Modulation collimator(RMC) is a remote sensing technique for a radiation source. In this paper, we introduce an RMC system model and simulate RMC modulation profiles. We also derive an image reconstruction algorithm based on maximum likelihood method and demonstrate its performance using MonteCarlo simulation data on the RMC.