{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T12:41:13Z","timestamp":1768740073126,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"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>This paper describes a simple, iterative atmospheric correction procedure based on the MODTRAN\u00ae5 radiative transfer code. Such a procedure receives in input a spectrally resolved at-sensor radiance image, evaluates the different contributions to received radiation, and corrects the effect of adjacency from surrounding pixels permitting the retrieval of ground reflectance spectrum for each pixel of the image. The procedure output is a spectral ground reflectance image obtained without the need of any user-provided a priori hypothesis. The novelty of the proposed method relies on its iterative approach for evaluating the contribution of surrounding pixels: a first run of the atmospheric correction procedure is performed by assuming that the spectral reflectance of the surrounding pixels is equal to that of the pixel under investigation. Such information is used in the subsequent iteration steps to estimate the spectral radiance of the surrounding pixels, in order to make a more accurate evaluation of the reflectance image. The results are here presented and discussed for two different cases: synthetic images produced with the hyperspectral simulation tool PRIMUS and real images acquired by CHRIS\u2013PROBA sensor. The retrieved reflectance error drops after a few iterations, providing a quantitative estimate for the number of iterations needed. Relative error after the procedure converges is in the order of few percent, and the causes of remaining uncertainty in retrieved spectra are discussed.<\/jats:p>","DOI":"10.3390\/rs13091799","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:51:42Z","timestamp":1620255102000},"page":"1799","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5056-9348","authenticated-orcid":false,"given":"Donatella","family":"Guzzi","sequence":"first","affiliation":[{"name":"\u201cNello Carrara\u201d Institute of Applied Physics\u2014National Research Council, I-50019 Sesto Fiorentino, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2506-7709","authenticated-orcid":false,"given":"Vanni","family":"Nardino","sequence":"additional","affiliation":[{"name":"\u201cNello Carrara\u201d Institute of Applied Physics\u2014National Research Council, I-50019 Sesto Fiorentino, Italy"}]},{"given":"Cinzia","family":"Lastri","sequence":"additional","affiliation":[{"name":"\u201cNello Carrara\u201d Institute of Applied Physics\u2014National Research Council, I-50019 Sesto Fiorentino, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8951-0888","authenticated-orcid":false,"given":"Valentina","family":"Raimondi","sequence":"additional","affiliation":[{"name":"\u201cNello Carrara\u201d Institute of Applied Physics\u2014National Research Council, I-50019 Sesto Fiorentino, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Goody, R.M., and Yung, Y.L. (1989). Atmospheric Radiation: Theoretical Basis, Oxford University Press.","DOI":"10.1093\/oso\/9780195051346.001.0001"},{"key":"ref_2","unstructured":"Shettle, E.P. (2021, April 30). Models of Aerosols, Clouds, and Precipitation for Atmospheric Propagation Studies. In AGARD, Atmospheric Propagation in the UV, Visible, IR, and MM-Wave Region and Related Systems Aspects 14 p, March 1990. SEE N90-21907 15-32. Available online: https:\/\/apps.dtic.mil\/dtic\/tr\/fulltext\/u2\/a221594.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2502","DOI":"10.1364\/AO.27.002502","article-title":"Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media","volume":"27","author":"Stamnes","year":"1988","journal-title":"Appl. Opt."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/0034-4257(85)90072-0","article-title":"Earth observation modeling based on layer scattering matrices","volume":"17","author":"Verhoef","year":"1985","journal-title":"Remot. Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Barducci, A., Guzzi, D., Marcoionni, P., and Pippi, I. (2003, January 22\u201327). Atmospheric effects on hyperspectral data acquired with aerospace imaging spectrometers. Proceedings of the Optics in Atmospheric Propagation and Adaptive Systems V (9th International Symposium on Remote Sensing), Aghia Pelagia, Greece.","DOI":"10.1117\/12.462622"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/S0034-4257(03)00143-3","article-title":"Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models","volume":"87","author":"Verhoef","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"S17","DOI":"10.1016\/j.rse.2007.12.015","article-title":"Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean","volume":"113","author":"Gao","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1080\/01431160600746456","article-title":"A survey of image classification methods and techniques for improving classification performance","volume":"28","author":"Lu","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Vermote, E., Tanre\u00b4, D., Deuz\u00e9, J.L., Herman, M., and Morcrette, J.J. (1997). Second Simulation of the Satellite Signal in the Solar Spectrum (6S), 6S user guide version 1.","DOI":"10.1109\/36.581987"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"8019","DOI":"10.3390\/rs70608019","article-title":"Modeling Top of Atmosphere Radiance over Heterogeneous Non-Lambertian Rugged Terrain","volume":"7","author":"Mousivand","year":"2015","journal-title":"Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1007\/s40010-017-0433-y","article-title":"A research review on hyperspectral data processing and analysis algorithms","volume":"87","author":"Kale","year":"2017","journal-title":"Proc. Natl. Acad. Sci. India Sect. A"},{"key":"ref_12","unstructured":"Cooley, T., Anderson, G.P., Felde, G.W., Hoke, M.L., Ratkowski, A.J., Chetwynd, J.H., Gardner, J.A., Adler-Golden, S.M., Matthew, M.W., and Berk, A. (2002, January 24\u201328). Flaash, a Modtran4-based atmospheric correction algorithm, its application and validation. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, ON, Canada."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/0098-3004(96)00010-6","article-title":"Atmospheric correction of satellite data with haze removal including a haze\/clear transition region","volume":"22","author":"Richter","year":"1996","journal-title":"Comput. Geosci."},{"key":"ref_14","unstructured":"Richter, R., and Schl\u00e4pfer, D. (2021, March 30). Atmospheric\/Topographic Correction for Satellite Imagery, Theoretical Background Document. Available online: www.atcor.com."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Adler-Golden, S.M., Mattchew, M.W., Bemstein, S., Levine, R.Y., Berk, A., and Richtsmeier, S.C. (1999, January 27). Atmospheric correction for short-wave spectral imagery based on MODTRAN4. Proceedings of the SPIE 3753, Imaging Spectrometry V, Denver, CO, USA.","DOI":"10.1117\/12.366315"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Berk, A., Conforti, P., Kennett, R., Perkins, T., Hawes, F., and Van den Bosch, J. (2014, January 13). MODTRAN6: A major upgrade of the MODTRAN radiative transfer code. Proceedings of the SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90880H, Baltimore, MD, USA.","DOI":"10.1117\/12.2050433"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2077","DOI":"10.1080\/01431160500486690","article-title":"An automatic atmospheric correction algorithm for visible\/NIR imagery","volume":"27","author":"Richter","year":"2006","journal-title":"Int. J. Remot. Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3582","DOI":"10.1364\/AO.39.003582","article-title":"Atmospheric correction of satellite ocean color imagery: The black pixel assumption","volume":"39","author":"Diegel","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1364\/OE.20.000741","article-title":"Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region","volume":"20","author":"Wang","year":"2012","journal-title":"Opt. Express"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3676","DOI":"10.1364\/AO.20.003676","article-title":"Influence of the background contribution upon space measurements of ground reflectance","volume":"20","author":"Tanre","year":"1981","journal-title":"Appl. Opt."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"12000","DOI":"10.1029\/JD092iD10p12000","article-title":"Adjacency effect produced by the atmospheric scattering in thematic mapper data","volume":"92","author":"Deschamps","year":"1987","journal-title":"J. Geophys. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1080\/01431169008955048","article-title":"Technical note Description of a computer code to simulate the satellite signal in the solar spectrum: The 5S code","volume":"11","author":"DeRoo","year":"1990","journal-title":"Int. J. Remot. Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1109\/36.134072","article-title":"Aerosol retrieval over land from AVHRR data-application for atmospheric correction","volume":"30","author":"Holben","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2677","DOI":"10.1029\/92JD02427","article-title":"Aerosol Optical Thickness and Atmospheric Path Radiance","volume":"98","author":"Kaufman","year":"1993","journal-title":"J. Geophys. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s10043-001-0133-2","article-title":"Adjacency Effect in the Atmospheric Correction of Satellite Remote Sensing Data: Evaluation of the Influence of Aerosol Extinction Profiles","volume":"8","author":"Minomura","year":"2001","journal-title":"Opt. Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1080\/01431169008955008","article-title":"A fast atmospheric correction algorithm applied to Landsat TM images","volume":"11","author":"Richter","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/S0034-4257(01)00219-X","article-title":"A VNIR\/SWIR atmospheric correction algorithm for hyperspectral imagery with adjacency effect","volume":"78","author":"Sanders","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"11909","DOI":"10.1029\/2000JD900647","article-title":"Role of adjacency effect in the remote sensing of aerosol","volume":"106","author":"Lyapustin","year":"2001","journal-title":"J. Geophys. Res. Space Phys."},{"key":"ref_29","unstructured":"Schl\u00e4pfer, D., Richter, R., and Hueni, A. (2009, January 16\u201319). Recent Developments in Operational Atmospheric and Radiometric Correction of Hyperspectral Imagery. Proceedings of the 6th EARSeL SIG IS Workshop, Tel Aviv, Israel."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6479","DOI":"10.1080\/01431161.2010.512930","article-title":"Detection and correction of adjacency effects in hyperspectral airborne data of coastal and inland waters: The use of the near infrared similarity spectrum","volume":"32","author":"Sterckx","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","unstructured":"Berk, A., Anderson, G.P., and Acharya, P.K. (2013). MODTRAN\u00ae5.3.2 USER\u2019S MANUAL, Air Force Research Laboratory, Space Vehicles Directorate."},{"key":"ref_32","unstructured":"Guzzi, D., Lastri, C., Nardino, V., Palombi, L., Pippi, I., Raimondi, V., Di Ninni, P., Barducci, A., and Lo Pinto, E. (2014, January 12\u201314). PRIMUS: A tool for the simulation of images acquired by the optical payloads on board of PRISMA mission. Proceedings of the 2014 Conference on Big Data from Space (BiDS\u201914), Frascati, Italy."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Cutter, M.A., Johns, L.S., Lobb, D.R., Williams, T.L., and Settle, J.J. (2003, January 3\u20138). Flight Experience of the Compact High Resolution Imaging Spectrometer (CHRIS). In Proceeding of the SPIE Conference 5159 Imaging Spectrometry IX, San Diego, CA, USA.","DOI":"10.1117\/12.505252"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1799\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:57:24Z","timestamp":1760162244000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1799"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,5]]},"references-count":33,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13091799"],"URL":"https:\/\/doi.org\/10.3390\/rs13091799","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,5]]}}}