Least Square Technique for Haze Modeling with 8-Band images

Mohamed Eleiche

Abstract


DigitalGlobe launched 8-band challenge among worldwide researchers in remote sensing to employ the capabilities of the new sensor WorldView-2 (WV2) with its 8-bands in achieving more spatial information from the increase in the spectral accuracy. This research tackles the conversion of the Digital Number (DN) of each band into its reflectance value, including an image-based atmospheric correction based on Dark Object Subtraction (DOS). The relation between the 8-bands and atmospheric conditions is analyzed, and a methodology is proposed to model the relative atmospheric model from 8-band data.

Keywords:


Keywords


Atmospheric correction; 8-band radiance; 8-band reflectance,

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References


Chavez, Pat S. “An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data.” Remote Sensing of Environment, 24, 1988: 459-479.

Chavez, Pat S. “Image-Based Atmospheric Corrections – Revisited and Improved.” Photogrammetric Engineering & Remote Sensing Vol. 62, No. 9, 1996: 1025-1036.

DigitalGlobe. “The Benefits of the 8 Spectral Bands of WorldView-2.” DigitalGlobe. 2009.

Holm, R G, M Susan Moran, R D Jackson, P N Slater, B Yuan, and S F Biggar. “Surface reflectance factor retrieval from Thematic Mapper data.” Remote Sensing of Environment 27, 1989: 47-57.

Moran, M Susan, R D Jackson, P N Slater, and Teillet P M. “Evaluation of Simplified Procedures for Retrieval of Land Surface Reflectance Factors from Satellite Sensor Output.” Remote Sensing of Environment 41, 1992: 164-189.




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