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Haze Removal Algorithm developed for CartoSat images

28 August 2017

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High resolution optical imaging Earth Observation Satellite (EOS) systems such as CARTOSAT provide multi-spectral remote sensing data in the visible and near-infrared (VNIR) wavelengths of the order of sub-meter to few-meters.

These datasets can be used in a variety of applications, particularly associated with precise mapping, monitoring and change detection of earth's surface, if top of the atmosphere (TOA) measurements can be properly compensated for atmospheric absorption and scattering effects.

Existing physics based atmospheric correction (AC) algorithms for multi/hyper-spectral remote sensing data over land involves simultaneous use of visible and short-wave infrared (SWIR) channels to derive aerosol information. Hence, such algorithms cannot be used for AC of data acquired by VNIR sensors to derive "surface reflectance".

Source: Indian Space Research Organisation

Image credit: ISRO - Photo of the deployed CartoSat-2 spacecraft.

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