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http://dx.doi.org/10.7780/kjrs.2019.35.2.1

A Comparative Study of Absolute Radiometric Correction Methods for Drone-borne Hyperspectral Imagery  

Jeon, Eui-ik (R&D Center, Geostory Inc.)
Kim, Kyeongwoo (R&D Center, Geostory Inc.)
Cho, Seongbeen (R&D Center, Geostory Inc.)
Kim, Shunghak (R&D Center, Geostory Inc.)
Publication Information
Korean Journal of Remote Sensing / v.35, no.2, 2019 , pp. 203-215 More about this Journal
Abstract
As hyperspectral sensors that can be mounted on drones are developed, it is possible to acquire hyperspectral imagery with high spatial and spectral resolution. Although the importance of atmospheric correction has been reduced since imagery of drones were acquired at a low altitude,studies on the conversion process from raw data to spectral reflectance should be done for studies such as estimating the concentration of surface materials using hyperspectral imagery. In this study, a vicarious radiometric calibration and an atmospheric correction algorithm based on atmospheric radiation transfer model were applied to hyperspectral data of drone and the results were compared and analyzed. The vicarious calibration method was applied to an empirical line calibration using the spectral reflectance of a tarp made of uniform material. The atmospheric correction algorithm used ATCOR-4 based Modran-5 that was widely used for the atmospheric correction of aerial hyperspectral imagery. As a result of analyzing the RMSE of the difference between the reference reflectance and the correction, the vicarious calibration using the tarp in a single period of hyperspectral image was the most accurate, but the atmospheric correction was possible according to the application purpose of using hyperspectral imagery. If the correction process of normalized spectral reflectance is carried out through the additional vicarious calibration for imagery from multiple periods in the future, accurate analysis using hyperspectral drone imagery will be possible.
Keywords
Drone; Hyperspectral imagery; Absolute radiometric correction; Linear empirical calibration;
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Times Cited By KSCI : 3  (Citation Analysis)
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