Correction of Atmospheric Haze of IRS-1C LISS-III Multispectral Satellite Imagery: An Empirical and Semi-Empirical Based Approach

dc.contributor.authorMustak, Sheikh
dc.contributor.authorBaghmar, Naresh
dc.contributor.authorSingh, Sudhir
dc.date.accessioned2021-06-28T11:08:38Z
dc.date.available2021-06-28T11:08:38Z
dc.date.issued2016-06-14
dc.description.abstractThe atmospheric effect greatly affects the quality of satellite data and mostly found in the polluted urban area in the great extent. In this paper, the atmospheric correction has been carried out on IRS-1C LISS-III multispectral satellite image for efficient results for the Raipur city, India. The atmospheric conditions during satellite data acquisition was very clear hence very clear relative scattering model of improved dark object subtraction method for the correction of atmospheric effects in the data has been carried out to produce the realistic results. The haze values (HV) for green band (band 2), red band (band 3), NIR band (band 4) and SWIR (band 5) are 79, 53, 54 and 124, respectively; were used for the corrections of haze effects using simple dark object subtraction method (SDOS). But the final predicted haze value (FPHV) for these bands are 79, 49.85, 21.31 and 0.13 that were used for the corrections of haze effects applying improved dark object subtraction method (IDOS). We found that IDOS method produces very realistic results when compared with SDOS method for urban land use mapping and change detection analysis. Consequently, ATCOR2 model provides better results when compared with SDOS and IDOS in the study.en
dc.identifier.citationActa Geographica Debrecina Landscape & Environment series, Vol. 10 No. 2 (2016) , 63-74
dc.identifier.doihttps://doi.org/10.21120/LE/10/2/2
dc.identifier.eissn1789-7556
dc.identifier.issn1789-4921
dc.identifier.issue2
dc.identifier.jatitleLandsc. environ.
dc.identifier.jtitleActa Geographica Debrecina Landscape & Environment series
dc.identifier.urihttps://hdl.handle.net/2437/317441en
dc.identifier.volume10
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/landsenv/article/view/2324
dc.rights.accessOpen Access
dc.subjectatmospheric correctionen
dc.subjectIDOSen
dc.subjectATCOR2en
dc.subjectHazeen
dc.subjectIndiaen
dc.titleCorrection of Atmospheric Haze of IRS-1C LISS-III Multispectral Satellite Imagery: An Empirical and Semi-Empirical Based Approachen
dc.typefolyóiratcikkhu
dc.typearticleen
Fájlok