{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T02:38:58Z","timestamp":1780367938260,"version":"3.54.1"},"reference-count":26,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T00:00:00Z","timestamp":1676937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Fund for Distinguished Young Scholars","award":["62125505"],"award-info":[{"award-number":["62125505"]}]},{"name":"National Science Fund for Distinguished Young Scholars","award":["19XD1424100"],"award-info":[{"award-number":["19XD1424100"]}]},{"name":"China\u2019s first Mars exploration program","award":["62125505"],"award-info":[{"award-number":["62125505"]}]},{"name":"China\u2019s first Mars exploration program","award":["19XD1424100"],"award-info":[{"award-number":["19XD1424100"]}]},{"name":"the China National Space Administration (CNSA)","award":["62125505"],"award-info":[{"award-number":["62125505"]}]},{"name":"the China National Space Administration (CNSA)","award":["19XD1424100"],"award-info":[{"award-number":["19XD1424100"]}]},{"name":"the Shanghai Outstanding Academic Leaders Plan","award":["62125505"],"award-info":[{"award-number":["62125505"]}]},{"name":"the Shanghai Outstanding Academic Leaders Plan","award":["19XD1424100"],"award-info":[{"award-number":["19XD1424100"]}]},{"name":"the Program of the Shanghai Academic\/Technology Research Leader","award":["62125505"],"award-info":[{"award-number":["62125505"]}]},{"name":"the Program of the Shanghai Academic\/Technology Research Leader","award":["19XD1424100"],"award-info":[{"award-number":["19XD1424100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Non-uniformity in the response of spectral image elements is an inevitable phenomenon in hyperspectral imaging, which mainly manifests itself as the presence of band noise in the acquired hyperspectral data. This problem is prominent in the infrared band owing to the detector material, operating environment, and other factors. Non-uniformity is an important factor that can affect the quality of the hyperspectral data, which has a serious impact on both data analysis and applications and requires corrections via technical means wherever possible. This paper proposes a novel target-based non-uniformity self-correction method for infrared push-broom hyperspectral images. The Mars Mineralogical Spectrometer (MMS) onboard the Tianwen-1 orbiter was used as the research and application object. The model is constructed and applied to the target scene characteristics and detection patterns of Mars remote sensing exploration, which are combined with the causes of noise generation in the infrared spectral image bands. The design of the MMS dual-channel Visible-Near-Infrared (V-NIR) and Near-Mid-Infrared (N-MIR) co-field of view co-target detection and laboratory calibration data for the V-NIR spectral band can achieve non-uniformity corrections (NUCs). Therefore, for the MMS in-orbit Mars exploration mission, the method selected spectral data (920\u20131055 nm) characterized by a reduced atmospheric influence to iteratively obtain the homogeneous region, which was used to calculate the non-uniformity correction factor for the N-MIR spectral band. This method was compared, validated, and evaluated with other conventional methods using both laboratory and in-orbit hyperspectral data. The results showed that the experimental data corrections were comparable to laboratory calibrations, with a maximum relative deviation of &lt;2.6%. These results prove that our method not only provides an excellent non-uniformity correction, but also ensures spectral fidelity. It can thus be used as a non-uniformity correction process for the MMS and similar hyperspectral imagers.<\/jats:p>","DOI":"10.3390\/rs15051186","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T01:39:47Z","timestamp":1677029987000},"page":"1186","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Target-Based Non-Uniformity Self-Correction Method for Infrared Push-Broom Hyperspectral Sensors"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3270-2141","authenticated-orcid":false,"given":"Bing","family":"Wu","sequence":"first","affiliation":[{"name":"Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2900-4104","authenticated-orcid":false,"given":"Chengyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8107-5802","authenticated-orcid":false,"given":"Rui","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiping","family":"He","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wangli","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mouzali, S., Lefebvre, S., Rommeluere, S., Ferrec, Y., and Primot, J. (2015, January 4\u20136). Modeling of HgCdTe focal plane array spectral inhomogeneities. Proceedings of the SPIE9520, Integrated Photonics: Materials, Devices, and Applications III, Barcelona, Spain.","DOI":"10.1117\/12.2178471"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.infrared.2014.10.012","article-title":"Extended wavelength SWIR InGaAs focal plane array: Characteristics and limitations","volume":"70","author":"Arslan","year":"2015","journal-title":"Infrared Phys. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3482","DOI":"10.1364\/AO.44.003482","article-title":"Scene-based nonuniformity correction technique that exploits knowledge of the focal-plane array readout architecture","volume":"44","author":"Naratanan","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1890","DOI":"10.1364\/JOSAA.20.001890","article-title":"Radiometrically accurate scene-based nonuniformity correction for array sensors","volume":"20","author":"Ratliff","year":"2003","journal-title":"J. Opt. Soc. Am. A"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0034-4257(98)00070-4","article-title":"Improved finite impulse response filters for enhanced destriping of geostationary satellite data","volume":"66","author":"Simpson","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1109\/TGRS.2003.817206","article-title":"Destriping CMODIS data by power filtering","volume":"41","author":"Chen","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1016\/j.isprsjprs.2011.04.003","article-title":"De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering","volume":"66","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_8","first-page":"85678591","article-title":"Stripe and ring artifact removal with combined wavelet:Fourier filtering","volume":"17","author":"Trtik","year":"2009","journal-title":"Opt. Express"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1109\/TGRS.2008.2005780","article-title":"A MAP-based algorithm for destriping and inpainting of remotely sensed images","volume":"47","author":"Shen","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2924","DOI":"10.1109\/TGRS.2011.2119399","article-title":"Toward optimal destriping of MODIS data using a unidirectional variational model","volume":"49","author":"Bouali","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4397189","DOI":"10.1155\/2017\/4397189","article-title":"A unidirectional total variation and second-order total variation model for destriping of remote sensing images","volume":"2017","author":"Wang","year":"2017","journal-title":"Math. Probl. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1080\/01431169008955060","article-title":"Destriping multiple sensor imagery by improved histogram matching","volume":"11","author":"Wegener","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"18441856","DOI":"10.1109\/TGRS.2007.895841","article-title":"Stripe noise reduction in MoDIS data by combining histogram matching with facet filter","volume":"45","author":"Rakwatin","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"4723","DOI":"10.1016\/j.ijleo.2015.08.079","article-title":"An improved histogram matching algorithm for the removal of striping noise in optical remote sensing imagery","volume":"126","author":"Cao","year":"2015","journal-title":"Optik"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"5136","DOI":"10.1364\/OPEX.13.005136","article-title":"Scene-based nonuniformity corrections for optical and SWIR push-broom sensors","volume":"13","author":"Leathers","year":"2005","journal-title":"Opt. Express"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4077","DOI":"10.1109\/TGRS.2018.2889731","article-title":"Destriping algorithms based on statistics and spatial filtering for visible-to-thermal infrared push-broom hyperspectral imagery","volume":"57","author":"Jia","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.isprsjprs.2017.08.004","article-title":"A novel scene-based non-uniformity correction method for SWIR push-broom hyperspectral sensors","volume":"131","author":"Hu","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"035010","DOI":"10.1117\/1.JRS.11.035010","article-title":"Improved target detection for hyperspectral images using hybrid in-scene calibration","volume":"11","author":"Zhou","year":"2017","journal-title":"J. Appl. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1006\/icar.1994.1136","article-title":"Spectroscopy of Mars from 2.04 to 2.44 mm during the 1993 opposition: Absolute calibration and atmospheric vs. mineralogic origin of narrow absorption features","volume":"111","author":"Bell","year":"1994","journal-title":"Icarus"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Ahrens, T.J. (1995). Rock Physics & Phase Relations: A Handbook of Physical Constants, AGU. AGU Ref. Shelf 3.","DOI":"10.1029\/RF003"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1146\/annurev-earth-060313-055024","article-title":"Mineralogy of the Martian Surface","volume":"42","author":"Ehlmann","year":"2014","journal-title":"Annu. Rev. Earth Planet. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s11214-021-00804-z","article-title":"Mars Mineralogical Spectrometer (MMS) on the Tianwen-1 Mission","volume":"217","author":"He","year":"2021","journal-title":"Space Sci. Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"239503","DOI":"10.1360\/SSPMA-2021-0265","article-title":"Detection mechanism and instrument characteristics of the Mars Mineralogical Spectrometer for the Tianwen-1 orbiter","volume":"52","author":"He","year":"2022","journal-title":"Sci. Sin. Phys. Mech. Astron."},{"key":"ref_24","unstructured":"Gui, Y., Li, J., Wang, M., and He, Z. (2021). Research and application of spectroscopic techniques in lunar and Mars exploration missions. J. Infrared Millim. Waves, 42."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11214-021-00858-z","article-title":"Ground Validation Experiment and Spectral Detection Capability Evaluation of Mars Mineralogical Spectrometer (MMS) Aboard HX-1 Orbiter","volume":"218","author":"Liu","year":"2022","journal-title":"Space Sci. Rev."},{"key":"ref_26","first-page":"1","article-title":"Block adjustment-based radiometric normalization by considering global and local differences","volume":"19","author":"Zhang","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1186\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:38:36Z","timestamp":1760121516000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1186"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,21]]},"references-count":26,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["rs15051186"],"URL":"https:\/\/doi.org\/10.3390\/rs15051186","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,21]]}}}