Tone mapping and blending method to improve SAR image visibility

Satoshi Hisanaga, Koji Wakimoto, Koji Okamura

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)


    It is possible to interpret the shape of buildings based on synthetic aperture radar (SAR) images acquired using airborne SAR systems. However, the pixel values of SAR images have a high dynamic range intensity, and SAR images cannot be displayed without dynamic range intensity compression. Thus, we have developed a tone mapping method and a blending method. Using our method, the tone of SAR images becomes seamless with no intensity gap.

    Original languageEnglish
    Pages (from-to)289-294
    Number of pages6
    JournalIAENG International Journal of Computer Science
    Issue number3
    Publication statusPublished - 2011

    All Science Journal Classification (ASJC) codes

    • General Computer Science


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