The reconstructed images from the Synthetic Aper-ture Radar (SAR) data suffer from multiplicative noise as well as low contrast level. These two factors impact the quality of the SAR images significantly and prevent any attempt to extract valuable information from the processed data. The necessity for mitigating these effects in the field of SAR imaging is of high importance. Therefore, in this paper, we address the aforementioned issues and propose a technique to handle these shortcomings simultaneously. In fact, we combine the de-noising and contrast enhancement processes into a unified algorithm. The image enhancement is performed based on the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique. The verification of the proposed algorithm is performed by ex-perimental results based on the data that has been collected from the European Space Agency's ERS-2 satellite which operates in strip-map mode.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Joint Image De-Noising and Enhancement for Satellite-Based SAR


    Contributors:


    Publication date :

    2024-11-08


    Size :

    1757564 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    DE-NOISING DEVICE, DE-NOISING METHOD, AND COMPUTER-READABLE MEDIUM

    PRASAD HEMANT SHIVSAGAR / PETLADWALA MURTUZA / IKEFUJI DAISUKE et al. | European Patent Office | 2023

    Free access

    DE-NOISING DEVICE, DE-NOISING METHOD, AND COMPUTER-READABLE MEDIUM

    PRASAD HEMANT SHIVSAGAR / PETLADWALA MURTUZA / IKEFUJI DAISUKE et al. | European Patent Office | 2025

    Free access

    Time-Scale Similarities for Robust Image De-noising

    Bruni, V. | British Library Online Contents | 2012



    Image de-Noising by Selective Filtering Based on Double-Shot Pictures

    Florencio, D. A. | British Library Conference Proceedings | 2005