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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 562 - 575 (14page)
이용수
초록· 키워드
오류제보하기
As a new type of spectrometer, that based on filters with different transmittance features attracts a lot of attention for its advantages such as small-size, low cost, and simple optical structure. It uses post-processing algorithms to achieve target spectrum reconstruction; therefore, the performance of the spectrometer is severely affected by noise. The influence of noise on the spectral reconstruction results is studied in this paper, and suggestions for solving the spectral reconstruction problem under noisy conditions are given. We first list different spectral reconstruction methods, and through simulations demonstrate that these methods show unsatisfactory performance under noisy conditions. Then we propose to apply the gradient projection for sparse reconstruction (GRSR) algorithm to the spectral reconstruction method. Simulation results show that the proposed method can significantly reduce the influence of noise on the spectral reconstruction process. Meanwhile, the accuracy of the spectral reconstruction results is dramatically improved. Therefore, the practicality of the filter-based spectrometer will be enhanced.
목차
Ⅰ. INTRODUCTION
Ⅱ. ANALYSIS OF THE NOISE EFFECT
Ⅲ. NEW METHOD WITH BETTER NOISE TOLERANCE
Ⅳ. CONCLUSION
REFERENCES
참고문헌 (43)
참고문헌 신청
하연철 / 2017 / Development of an Ultraviolet Raman Spectrometer for Standoff Detection of Chemicals / Current Optics and Photonics 1(3):247~251
N. Rajaram / 2010 / Design and validation of a clinical instrument for spectral diagnosis of cutaneous malignancy / Appl. Opt 49:142~152
A. A. Masoud / 2019 / Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region / Int. J. Appl. Earth Obs. Geoinf 83:101944
김치훈 / 2019 / Real-time Spectroscopic Methods for Analysis of Organic Compounds in Water / Current Optics and Photonics 3(4):336~341
C. Zhang / 2016 / G-Fresnel smartphone spectrometer / Lab. Chip 16:246~250
N. Rajaram / 2010 / Design and validation of a clinical instrument for spectral diagnosis of cutaneous malignancy / Appl. Opt 49:142~152
A. A. Masoud / 2019 / Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region / Int. J. Appl. Earth Obs. Geoinf 83:101944
김치훈 / 2019 / Real-time Spectroscopic Methods for Analysis of Organic Compounds in Water / Current Optics and Photonics 3(4):336~341
C. Zhang / 2016 / G-Fresnel smartphone spectrometer / Lab. Chip 16:246~250
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