{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:54:45Z","timestamp":1774367685018,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Natural Science Foundation of China (NSFC)","award":["No. 62071024"],"award-info":[{"award-number":["No. 62071024"]}]},{"name":"the National Natural Science Foundation of China (NSFC)","award":["No. 61571029"],"award-info":[{"award-number":["No. 61571029"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The signal-to-noise ratio (SNR) is an important performance evaluation index of polarization spectral imaging remote sensors. The SNR-estimation method based on the existing remote sensor is not perfect. To improve the SNR of this model, a partial detector check slant direction is presented in this study, and a polarization extinction ratio related to the internal SNR model of a typical multispectral imaging remote sensor is combined with the vector radiative transfer model to construct the atmosphere 6SV\u2013SNR coupling model. The new result is that the central wavelength of the detection spectrum, the observation zenith angle, and the extinction ratio all affect the SNR of the remote sensor, and the SNR increases with the increase in the central wavelength of the detection spectrum. It is proved that the model can comprehensively estimate the SNR of a typical polarization multispectral imaging remote sensor under different detection conditions, and it provides an important basis for the application evaluation of such remote sensors.<\/jats:p>","DOI":"10.3390\/s22176624","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:19:01Z","timestamp":1662077941000},"page":"6624","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Optimization Model of Signal-to-Noise Ratio for a Typical Polarization Multispectral Imaging Remote Sensor"],"prefix":"10.3390","volume":"22","author":[{"given":"Ying","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2205-2632","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]},{"given":"Heshen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]},{"given":"Junhua","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]},{"given":"Huilan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]},{"given":"Yingshuo","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5453","DOI":"10.1364\/AO.45.005453","article-title":"Review of passive imaging polarimetry for remote sensing applications","volume":"45","author":"Tyo","year":"2006","journal-title":"Appl. Opt."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s11214-015-0208-1","article-title":"Prospects of solar magnetometry\u2014From ground and in space","volume":"210","author":"Kleint","year":"2017","journal-title":"Space Sci. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Martins, J.V., Fernandez-Borda, R., McBride, B., Remer, L., and Barbosa, H.M. (2018, January 22\u201327). The harp hype ran gular imaging polarimeter and the need for small satellite payloads with high science payoff for earth science remote sensing. Proceedings of the IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8518823"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"10382","DOI":"10.1364\/OE.26.010382","article-title":"High resolution channeled imaging spectropolarimetry based on liquid crystal variable retarder","volume":"26","author":"Yan","year":"2018","journal-title":"Opt. Express"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11734","DOI":"10.1364\/OE.27.011734","article-title":"Low crosstalk polarization-difference channeled imaging spectropolarimeter using double-Wollaston prism","volume":"27","author":"Li","year":"2019","journal-title":"Opt. Express"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"125101","DOI":"10.1016\/j.optcom.2019.125101","article-title":"Design and analysis of a Fourier transform imaging spectropolarimetry based on polarization modulation array (PMAFTISP)","volume":"460","author":"Wang","year":"2020","journal-title":"Opt. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1117\/1.1355251","article-title":"Comparison of SNR image quality metrics for remote sensing systems","volume":"40","author":"Fiete","year":"2001","journal-title":"Opt. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1614","DOI":"10.1364\/AO.44.001614","article-title":"Comparison of relative signal-to-noise ratios of different classes of imaging spectrometer","volume":"44","author":"Sellar","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3526","DOI":"10.1364\/AO.52.003526","article-title":"Radiometric calibration and noise estimation of acousto-optic tunable filter hyperspectral imaging systems","volume":"52","author":"Likar","year":"2013","journal-title":"Appl. Opt."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"7344","DOI":"10.1364\/AO.57.007344","article-title":"Effect of sensor SNR and extinction ratio on polarimetric imaging error for nanowire-based systems","volume":"57","author":"Sun","year":"2018","journal-title":"Appl. Opt."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"6083","DOI":"10.1364\/AO.57.006083","article-title":"Comparative evaluation of signal-to-noise ratio and resolution of underwater imaging systems with artificial illumination","volume":"57","author":"Luchinin","year":"2018","journal-title":"Appl. Opt."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1364\/AO.58.001691","article-title":"Performance analysis of the infrared imaging system for aircraft plume detection from geostationary orbit","volume":"58","author":"Yuan","year":"2019","journal-title":"Appl. Opt."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"14061","DOI":"10.1364\/OE.455399","article-title":"Enhancing critical resolution of a ghost imaging system by using a vortex beam","volume":"30","author":"Tan","year":"2022","journal-title":"Opt. Express"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/0034-4257(93)90061-2","article-title":"An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers","volume":"43","author":"Gao","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Volin, C.E., Descour, M.R., and Dereniak, E.L. (1998, January 16). Signal-to-noise ratio analysis of the computed-tomography imaging spectrometer. Proceedings of the Imaging Spectrometry IV, San Diego, CA, USA.","DOI":"10.1117\/12.328093"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1002\/sca.4950230506","article-title":"Single-image signal-to-noise ratio estimation","volume":"23","author":"Thong","year":"2001","journal-title":"Scanning"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Lang, J., Wang, Y., and Wang, J. (2013, January 30). A new SNR model for space-borne hyperspectral imagers including atmospheric scattering influence. Proceedings of the International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, Beijing, China.","DOI":"10.1117\/12.2034537"},{"key":"ref_18","first-page":"68","article-title":"SNR Model Building of CMOS Imaging System of Rolling Digital Domain TDI Technology","volume":"4","author":"Zhang","year":"2018","journal-title":"J. Chang. Univ. Sci. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2746","DOI":"10.1109\/JSSC.2005.858482","article-title":"CMOS-based microdisplay with calibrated backplane","volume":"40","author":"Chen","year":"2005","journal-title":"IEEE J. Solid-State Circuits"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1007\/s10043-020-00639-z","article-title":"SNR of the coded aperture imaging system","volume":"28","author":"Wang","year":"2021","journal-title":"Optical Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.optcom.2017.04.073","article-title":"A novel method for enhancing the lateral resolution and image SNR in confocal microscopy","volume":"404","author":"Chen","year":"2017","journal-title":"Opt. Commun."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"115004","DOI":"10.1088\/1361-6560\/ab0dc0","article-title":"Higher SNR PET image prediction using a deep learning model and MRI image","volume":"64","author":"Liu","year":"2019","journal-title":"Phys. Med. Biol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"879639","DOI":"10.3389\/fpubh.2022.879639","article-title":"Medical Image Segmentation Algorithm for Three-Dimensional Multimodal Using Deep Reinforcement Learning and Big Data Analytics","volume":"10","author":"Gao","year":"2022","journal-title":"Front. Public Health"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"e4133","DOI":"10.1002\/nbm.4133","article-title":"Adaptive denoising for chemical exchange saturation transfer MR imaging","volume":"32","author":"Breitling","year":"2019","journal-title":"NMR Biomed."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Oka, K., and Saito, N. (2006, January 15\u201316). Snapshot complete imaging polarimeter using Savart plates. Proceedings of the Infrared Detectors and Focal Plane Arrays VIII, San Diego, CA, USA.","DOI":"10.1117\/12.683284"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2681","DOI":"10.1117\/1.1286140","article-title":"Modeling and performances of a polarization active imager at \u03bb= 806nm","volume":"39","author":"Breugnot","year":"2000","journal-title":"Opt. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.crhy.2007.09.013","article-title":"Detection of explosives by terahertz synthetic aperture imaging\u2014focusing and spectral classification","volume":"9","author":"Sinyukov","year":"2008","journal-title":"Comptes Rendus Phys."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"054001","DOI":"10.1088\/1361-6439\/abf333","article-title":"Silicon electro-optic micro-modulator fabricated in standard CMOS technology as components for all silicon monolithic integrated optoelectronic systems","volume":"31","author":"Xu","year":"2021","journal-title":"J. Micromech. Microeng."},{"key":"ref_29","unstructured":"Dial, O.E. (1991, January 1). CCD performance model. Proceedings of the Surveillance Technologies, Orlando, FL, USA."},{"key":"ref_30","first-page":"26","article-title":"Computer simulation of statistical processing for photon images","volume":"24","author":"Chen","year":"1997","journal-title":"Opto Electron. Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1080\/01431169008955048","article-title":"Description of a computer code to simulate the satellite signal in the solar spectrum: The 5S code","volume":"11","author":"Tanre","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/36.581987","article-title":"Second simulation of the satellite signal in the solar spectrum, 6S: An overview","volume":"35","author":"Vermote","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6624\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:22:00Z","timestamp":1760142120000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6624"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"references-count":32,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["s22176624"],"URL":"https:\/\/doi.org\/10.3390\/s22176624","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,1]]}}}