On their way to the Earth’s surface, electromagnetic waves emitted by the Sun are subject to atmospheric distortion in the form of refraction, scattering, and absorption events. As a remote sensing satellite, LAPAN A3 imagery is not immune to atmospheric disturbance. To produce images free of atmospheric disturbance, corrections are needed to remove atmospheric effects. In this study, a comparison was made between three atmospheric corrections, namely histogram adjustment, FLAASH and 6S. The research was conducted in the Batu Jamus rubber plantation area owned by PT Perkebunan Nusantara I Regional 3 and the Karanganyar area. Atmospherically corrected images were used for unsupervised classification using the ISODATA method. Visual analysis showed that atmospheric correction of the LAPAN A3 image resulted in a brighter image in the FLAASH method. Spectral reflectance curve analysis shows that the histogram adjustment method has a similar spectral reflectance shape to the reference. The classification results show no change in the histogram adjustment method, which is indicated by the accuracy value reaching 100%. On the other hand, for the FLAASH and 6S methods, there is a change in the classification, indicated by a decrease in accuracy of 44.0514% and 48.8370%, respectively.


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    Titel :

    Effect of Atmosphere Correction for Unsupervised Classification in Multispectral Camera LAPAN A3


    Weitere Titelangaben:

    Springer Proceedings Phys.


    Beteiligte:
    Fitrianingsih, Ery (Herausgeber:in) / Muhamad, Johan (Herausgeber:in) / Jenie, Yazdi Ibrahim (Herausgeber:in) / Widodo, Joko (Herausgeber:in) / Anggari, Ega Asti (Autor:in) / Murti, Sigit Heru (Autor:in) / Hasbi, Wahyudi (Autor:in)

    Kongress:

    International Seminar on Aerospace Science and Technology ; 2024 ; Bali, Indonesia September 17, 2024 - September 17, 2024



    Erscheinungsdatum :

    15.02.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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