{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T05:00:34Z","timestamp":1761541234384,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2014,11,11]],"date-time":"2014-11-11T00:00:00Z","timestamp":1415664000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Hyperspectral images are of increasing importance in remote sensing applications. Imaging spectrometers provide semi-continuous spectra that can be used for physics based surface cover material identification and quantification. Preceding radiometric calibrations serve as a basis for the transformation of measured signals into physics based units such as radiance. Pushbroom sensors collect incident radiation by at least one detector array utilizing the photoelectric effect. Temporal variations of the detector characteristics that differ with foregoing radiometric calibration cause visually perceptible along-track stripes in the at-sensor radiance data that aggravate succeeding image-based analyses. Especially, variations of the thermally induced dark current dominate and have to be reduced. In this work, a new approach is presented that efficiently reduces dark current related stripe noise. It integrates an across-effect gradient minimization principle. The performance has been evaluated using artificially degraded whiskbroom (reference) and real pushbroom acquisitions from EO-1 Hyperion and AISA DUAL that are significantly covered by stripe noise. A set of quality indicators has been used for the accuracy assessment. They clearly show that the new approach outperforms a limited set of tested state-of-the-art approaches and achieves a very high accuracy related to ground-truth for selected tests. It may substitute recent algorithms in the Reduction of Miscalibration Effects (ROME) framework that is broadly used to reduce radiometric miscalibrations of pushbroom data takes.<\/jats:p>","DOI":"10.3390\/rs61111082","type":"journal-article","created":{"date-parts":[[2014,11,11]],"date-time":"2014-11-11T08:59:22Z","timestamp":1415696362000},"page":"11082-11106","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Reduction of Uncorrelated Striping Noise\u2014Applications for Hyperspectral Pushbroom Acquisitions"],"prefix":"10.3390","volume":"6","author":[{"given":"Christian","family":"Rogass","sequence":"first","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Mielke","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2939-8764","authenticated-orcid":false,"given":"Daniel","family":"Scheffler","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nina","family":"Boesche","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4490-7232","authenticated-orcid":false,"given":"Angela","family":"Lausch","sequence":"additional","affiliation":[{"name":"Helmholtz Center for Environmental Research-UFZ, Permoserstr 15, Leipzig 04318, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christin","family":"Lubitz","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Brell","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2939-8764","authenticated-orcid":false,"given":"Daniel","family":"Spengler","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Eisele","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Segl","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Guanter","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,11,11]]},"reference":[{"key":"ref_1","unstructured":"Cocks, T., Jenssen, R., Stewart, A., Wilson, I., and Shields, T. The HyMapTM Airborne Hyperspectral Sensor: The System, Calibration and Performance. Available online:http:\/\/www.neodc.rl.ac.uk\/docs\/Hymap_specs.pdf."},{"key":"ref_2","unstructured":"Pearlman, J., Carman, S., Segal, C., Jarecke, P., Clancy, P., and Browne, W. (2001, January 9\u201313). Overview of the Hyperion Imaging Spectrometer for the NASA EO-1 mission. Proceedings of IEEE 2001 International Geoscience and Remote Sensing Symposium, Sydney, Australia."},{"key":"ref_3","unstructured":"Specim. Available online:http:\/\/www.specim.fi\/index.php\/products\/airborne\/aisadual."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6370","DOI":"10.3390\/s110606370","article-title":"Reduction of radiometric miscalibration\u2014Applications to pushbroom sensors","volume":"11","author":"Rogass","year":"2011","journal-title":"Sensors"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1934","DOI":"10.3390\/s7091934","article-title":"The airborne visible\/infrared imaging spectrometer AVIS: Design, characterization and calibration","volume":"7","author":"Oppelt","year":"2007","journal-title":"Sensors"},{"key":"ref_6","unstructured":"Janesick, J.R. (2007). DN to [lambda], SPIE Press."},{"key":"ref_7","unstructured":"Tian, H. Noise Analysis in CMOS Image Sensors. Available online: http:\/\/www-isl.stanford.edu\/~abbas\/group\/papers_and_pub\/hui_thesis.pdf."},{"key":"ref_8","unstructured":"Holst, G.C. (1996). CCD Arrays, Cameras and Displays, JCD Publishing."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rogass, C., Spengler, D., Bochow, M., Segl, K., Lausch, A., Doktor, D., Roessner, S., Behling, R., Wetzel, H.U., Urata, K., Hueni, A., and Kaufmann, H. (2012). A Contribution to the Reduction of Radiometric Miscalibration of Pushbroom Sensors, INTECH Open Access Publisher.","DOI":"10.5772\/45740"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1109\/TGRS.2003.813214","article-title":"Processing Hyperion and ALI for forest classification","volume":"41","author":"Goodenough","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1109\/TGRS.2003.813206","article-title":"Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes","volume":"41","author":"Datt","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","unstructured":"Staenz, K., Neville, R.A., Clavette, S., Landry, R., White, H.P., and Hitchcock, R. Retrieval of Surface Reflectance from Hyperion Radiance Data. Available online: http:\/\/ieeexplore.ieee.org\/xpl\/login.jsp?tp=&arnumber=1026135&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1026135."},{"key":"ref_13","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_14","doi-asserted-by":"crossref","first-page":"2216","DOI":"10.1080\/01431161.2012.742592","article-title":"Filtering high-resolution hyperspectral imagery in a maximum noise fraction transform domain using wavelet-based de-striping","volume":"34","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Scheffler, D., and Karrasch, P. (2014). Destriping of hyperspectral image data: An evaluation of different algorithms using EO-1 Hyperion data. J. Appl. Remote Sens., 8.","DOI":"10.1117\/1.JRS.8.083645"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s11045-009-0086-3","article-title":"Interpolation of signals with missing data using Principal Component Analysis","volume":"21","author":"Oliveira","year":"2010","journal-title":"Multidimens. Syst. Signal. Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4122","DOI":"10.1109\/TGRS.2008.2000646","article-title":"Striping noise detection and correction of remote sensing images","volume":"46","author":"Tsai","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3299","DOI":"10.3390\/s8053299","article-title":"Hyperspectral sensor data capability for retrieving complex urban land cover in comparison with multispectral data: Venice city case study (Italy)","volume":"8","author":"Cavalli","year":"2008","journal-title":"Sensors"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3090","DOI":"10.3390\/s90403090","article-title":"Simulation of EO-1 Hyperion data from ALI multispectral data based on the spectral reconstruction approach","volume":"9","author":"Liu","year":"2009","journal-title":"Sensors"},{"key":"ref_20","unstructured":"Garcia, J., and Moreno, J. Removal of Noises in CHRIS\/Proba Images: Application to the SPARC Campaign Data. Available online:http:\/\/earth.esa.int\/workshops\/chris_proba_04\/papers\/9_GARCIA.pdf."},{"key":"ref_21","unstructured":"Shen, H.F., Ai, T.H., and Li, P.X. Destriping and Inpainting of Remote Sensing Images Using Maximum A-Posteriori Method. Available online:http:\/\/www.isprs.org\/proceedings\/XXXVII\/congress\/1_pdf\/11.pdf."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0034-4257(94)00078-2","article-title":"Improved destriping of GOES images using finite impulse response filters","volume":"52","author":"Simpson","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_23","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_24","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_25","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1109\/TGRS.2009.2033587","article-title":"Statistical linear destriping of satellite-based pushbroom-type images","volume":"48","author":"Carfantan","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"F46","DOI":"10.1364\/AO.47.000F46","article-title":"Correction of systematic spatial noise in push-broom hyperspectral sensors: Application to CHRIS\/PROBA images","volume":"47","author":"Alonso","year":"2008","journal-title":"Appl. Opt."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Tendero, Y., and Gilles, J. (2012). ADMIRE: A locally adaptive single-image, non-uniformity correction and denoising algorithm: Application to uncooled IR camera. Proc. SPIE, 8353.","DOI":"10.1117\/12.912966"},{"key":"ref_28","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_29","first-page":"278","article-title":"Universal reconstruction method for radiometric quality improvement of remote sensing images","volume":"12","author":"Shen","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3660","DOI":"10.1109\/TGRS.2012.2185054","article-title":"Hyperspectral image denoising employing a spectral-spatial adaptive total variation model","volume":"50","author":"Yuan","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","unstructured":"Bouali, M. (2010, January 26\u201330). A simple and robust destriping algorithm for imaging spectrometers: Application to MODIS data. Proceedings of ASPRS 2010 Annual Conference, San Diego, CA, USA."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1080\/2150704X.2013.860564","article-title":"A piece-wise approach to removing the nonlinear and irregular stripes in MODIS data","volume":"35","author":"Shen","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","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_34","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1109\/36.843038","article-title":"Striping removal in MOS-B data","volume":"38","author":"Corsini","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1109\/TGRS.2008.2004034","article-title":"Destriping MODIS data using overlapping field-of-view method","volume":"47","author":"Episcopo","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1844","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_37","first-page":"708605","article-title":"The EnMAP hyperspectral imaging spectrometer: Instrument concept, calibration and technologies","volume":"13","author":"Sang","year":"2008","journal-title":"Imaging Spectrom."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Hofer, S., Kaufmann, H., Stuffler, T., Penn\u00e9, B., Schreier, G., M\u00fcller, A., Eckardt, A., Bach, H., Benz, U., and Haydn, R. (2006). EnMAP hyperspectral imager: An advanced optical payload for future applications in Earth observation programs. Proc. SPIE, 6366.","DOI":"10.1117\/12.690608"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2631","DOI":"10.1080\/01431160110115834","article-title":"Geo-atmospheric processing of airborne imaging spectrometry data. Part II: Atmospheric\/topographic correction","volume":"23","author":"Richter","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1109\/TGRS.2003.815018","article-title":"Hyperion, a space-based imaging spectrometer","volume":"41","author":"Pearlman","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1214\/aoms\/1177706645","article-title":"A note on the generation of random normal deviates","volume":"29","author":"Box","year":"1958","journal-title":"Ann. Math. Stat."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/36.3001","article-title":"A transformation for ordering multispectral data in terms of image quality with implications for noise removal","volume":"26","author":"Green","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_43","unstructured":"Bovik, A.C. (2000). Handbook of Image and Video Processing, Academic Press."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Arce, G.R. (2004). Nonlinear Signal Processing: A Statistical Approach, Wiley-Interscience.","DOI":"10.1002\/0471691852"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/MSP.2008.930649","article-title":"Mean squared error: Love it or leave it? A new look at signal fidelity measures","volume":"26","author":"Wang","year":"2009","journal-title":"IEEE Signal. Process. Mag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/11082\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:09:10Z","timestamp":1760216950000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/11082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,11]]},"references-count":46,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2014,11]]}},"alternative-id":["rs61111082"],"URL":"https:\/\/doi.org\/10.3390\/rs61111082","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2014,11,11]]}}}