An improved dark-object subtraction technique for atmospheric correction of Landsat 8

An improved Dark Object Subtraction (DOS) method was introduced for Landsat 8 multispectral satellite image in this paper. The main factors including Rayleigh scattering, Mie scattering in path radiance, as well as the other satellite image parameters (such as height modification, slope distance and azimuth), ware considered in the algorithm. The algorithm consists of three steps. First, starting band haze values are selected using histogram of a single image. Then predicted haze values were calculated using a known scattering model and the multispectral normalized gains and offset values. Finally, final predicted haze values are obtained by the predicted haze values and haze values. Compared with other improved Dark Object Subtraction methods, the result of this algorithm is more realistic on geographical object recognition on NDVI (Normalized Difference Vegetation Index) and NDWI (Normalized Difference Water Index) data.

[1]  Ashraf M. Dewan,et al.  Effectiveness of DOS (Dark-Object Subtraction) method and water index techniques to map wetlands in a rapidly urbanising megacity with Landsat 8 data , 2015 .

[2]  حسين محي علي الموسوي,et al.  Dark Object Subtraction of Landsat MSS Satellite Images , 2013 .

[3]  E. Vermote,et al.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: path radiance. , 2006, Applied optics.

[4]  Esad Micijevic,et al.  Landsat 8 on-orbit characterization and calibration system , 2011, Optical Engineering + Applications.

[5]  P. Chavez.  Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[6]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[7]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[8]  S. K. McFeeters.  The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[9]  Anthony J. Ratkowski,et al.  MODTRAN4: radiative transfer modeling for remote sensing , 1999, Remote Sensing.

[10]  Carsten Christof Grellmann.  Light Pollution and the Limiting Visual Magnitude in Corvallis, Oregon , 2009 .

[11]  James B. Campbell.  Evaluation of the dark-object subtraction technique for adjustment of multispectral remote-sensing data , 1993, Other Conferences.

[12]  Alexander Berk,et al.  An accelerated line-by-line option for MODTRAN combining on-the-fly generation of line center absorption within 0.1 cm-1 bins and pre-computed line tails , 2015, Defense + Security Symposium.

[13]  Ke-Sheng Cheng,et al.  A Conceptual Model of Surface Reflectance Estimation for Satellite Remote Sensing Images Using in situ Reference Data , 2012, Remote. Sens..

[14]  G. V. Rozenberg,et al.  Twilight: A Study in Atmospheric Optics , 1966 .

[15]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[16]  S. Mustak.  CORRECTION OF ATMOSPHERIC HAZE IN RESOURCESAT-1 LISS-4 MX DATA FOR URBAN ANALYSIS: AN IMPROVED DARK OBJECT SUBTRACTION APPROACH , 2013 .

[17]  A. Berk.  MODTRAN : A moderate resolution model for LOWTRAN7 , 1989 .

[18]  Ghulam Abduwasit,et al.  6S Model Based Atmospheric Correction of Visible and Near-Infrared Data and Sensitivity Analysis , 2004 .

[19]  Dengsheng Lu,et al.  Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research , 2002 .

[20]  V. N. Sridhar,et al.  Atmospheric and angular effects on NDVI temporal profiles derived from ADEOS-POLDER data over India , 2001, IEEE Trans. Geosci. Remote. Sens..

[21]  D. Hadjimitsis,et al.  Atmospheric correction for satellite remotely sensed data intended for agricultural applications: Impact on vegetation indices , 2010 .

[22]  Kevin Krisciunas,et al.  A MODEL OF THE BRIGHTNESS OF MOONLIGHT , 1991 .

[23]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .