Correction of Atmospheric Haze of IRS-1C LISS-III Multispectral Satellite Imagery: An Empirical and Semi-Empirical Based Approach
The 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. Th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Debrecen University Press.
2016-06-01
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| Series: | Acta Geographica Debrecina. Landscape & Environment Series |
| Subjects: | |
| Online Access: | http://landscape.geo.klte.hu/pdf/agd/2016/2016v10is2_2.pdf |
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| Summary: | The 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. |
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| ISSN: | 1789-4921 1789-7556 |