This paper describes a modified version of existing statistical-based stripe noise removal designed to recover noisy images without devastating the structure of the image. The proposed algorithm has been tested by using LAPAN-A2 microsatellite imagery. Based on the investigation of corrected images, it is confirmed that the proposed algorithm was capable of giving a satisfying result than that of the existing one. It is also found that the performance of the proposed algorithm is 10.21% better than that of the existing algorithm. This result indicates that the proposed algorithm can be used as data processing tool to address the stripe noise disturbance existed on particular imaging system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Adaptive Stripe Noise Removal Algorithm for Optical Satellite Imagery


    Contributors:
    Kamirul (author) / Hakim, P.R. (author) / Hasbi, W. (author)


    Publication date :

    2019-10-01


    Size :

    6877859 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Statistica1-based Stripe Noise Correction on LAPAN Microsatellite Imagery

    Kamirul / Hakim, P.R. / Salaswati, S. | IEEE | 2018


    Traffic Stripe Removal

    C. W. Niessner | NTIS | 1979



    Viability analysis of innovative surface stripe removal system

    Lee, Tai Sik / Moon, Deuk Soo / Koo, Ja Kyung et al. | Springer Verlag | 2010