Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 283-287, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W3-283-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
24 Sep 2013
CORRECTION OF ATMOSPHERIC HAZE IN RESOURCESAT-1 LISS-4 MX DATA FOR URBAN ANALYSIS: AN IMPROVED DARK OBJECT SUBTRACTION APPROACH
S. Mustak Research Scholar (Ph.D.), School of Studies in Geography Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India
Keywords: Atmospheric Haze, Multispectral, Dark Object, Urban Analysis Abstract. The correction of atmospheric effects is very essential because visible bands of shorter wavelength are highly affected by atmospheric scattering especially of Rayleigh scattering. The objectives of the paper is to find out the haze values present in the all spectral bands and to correct the haze values for urban analysis. In this paper, Improved Dark Object Subtraction method of P. Chavez (1988) is applied for the correction of atmospheric haze in the Resoucesat-1 LISS-4 multispectral satellite image. Dark object Subtraction is a very simple image-based method of atmospheric haze which assumes that there are at least a few pixels within an image which should be black (% reflectance) and such black reflectance termed as dark object which are clear water body and shadows whose DN values zero (0) or Close to zero in the image. Simple Dark Object Subtraction method is a first order atmospheric correction but Improved Dark Object Subtraction method which tends to correct the Haze in terms of atmospheric scattering and path radiance based on the power law of relative scattering effect of atmosphere. The haze values extracted using Simple Dark Object Subtraction method for Green band (Band2), Red band (Band3) and NIR band (band4) are 40, 34 and 18 but the haze values extracted using Improved Dark Object Subtraction method are 40, 18.02 and 11.80 for aforesaid bands. Here it is concluded that the haze values extracted by Improved Dark Object Subtraction method provides more realistic results than Simple Dark Object Subtraction method.
Conference paper (PDF, 540 KB)


Citation: Mustak, S.: CORRECTION OF ATMOSPHERIC HAZE IN RESOURCESAT-1 LISS-4 MX DATA FOR URBAN ANALYSIS: AN IMPROVED DARK OBJECT SUBTRACTION APPROACH, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 283-287, https://doi.org/10.5194/isprsarchives-XL-1-W3-283-2013, 2013.

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