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    수정된 영상 유도 기법을 통한 융합영상의 분광정보 향상 알고리즘

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    https://www.riss.kr/link?id=A99950792

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    High-spatial resolution remote sensing satellites (IKONOS-2, QuickBird and KOMPSAT-2) have provided low-spatial resolution multispectral images and high-spatial resolution panchromatic images. Image fusion or Pan-sharpening is a very important in that it aims at using a satellite image with various applications such as visualization and feature extraction through combining images that have a different spectral and spatial resolution. Many image fusion algorithms are proposed, most methods could not preserve the spectral information of original multispectral image after image fusion. In order to solve this problem, modified induction technique which reduce the spectral distortion of fused image is developed. The spectral distortion is adjusted by the comparison between the spatially degraded pan-sharpened image and original multispectral image and our algorithm is evaluated by QuickBird satellite imagery. In the experiment, pan-sharpened image by various methods can reduce spectral distortion when our algorithm is applied to the fused images.
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    High-spatial resolution remote sensing satellites (IKONOS-2, QuickBird and KOMPSAT-2) have provided low-spatial resolution multispectral images and high-spatial resolution panchromatic images. Image fusion or Pan-sharpening is a very important in that...

    High-spatial resolution remote sensing satellites (IKONOS-2, QuickBird and KOMPSAT-2) have provided low-spatial resolution multispectral images and high-spatial resolution panchromatic images. Image fusion or Pan-sharpening is a very important in that it aims at using a satellite image with various applications such as visualization and feature extraction through combining images that have a different spectral and spatial resolution. Many image fusion algorithms are proposed, most methods could not preserve the spectral information of original multispectral image after image fusion. In order to solve this problem, modified induction technique which reduce the spectral distortion of fused image is developed. The spectral distortion is adjusted by the comparison between the spatially degraded pan-sharpened image and original multispectral image and our algorithm is evaluated by QuickBird satellite imagery. In the experiment, pan-sharpened image by various methods can reduce spectral distortion when our algorithm is applied to the fused images.

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    참고문헌 (Reference)

    1 Y. Zhang, "Understanding image fusion" Photogram-metric Engineering & Remote Sensing 70 (70): 653-660, 2004

    2 M. M. Khan, "Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique" IEEE 5 (5): 98-102, 2008

    3 L. Alparone, "Comparison of Pansharpening Algo-rithms: Outcome of the 2006 GRS-S Data-Fusion Contest" IEEE 45 (45): 3012-3021, 2007

    4 M. Gonzalez-Audicana, "Comparison between Mallat's and the a'trous discrete wavelet transformation based algorithms for the fusion of multispectral and panchromatic imag" International Journal of Remote Sensing 26 (26): 595-614, 2005

    5 M. Gonzalez-Audicana, "A low computational-cost method to fuse IKONOS image using the spectral response function of its sensors" IEEE 44 (44): 1683-1691, 2005

    6 L. Alparone, "A global quality measurement of pan-sharpened multispectral imagery" IEEE 1 (1): 313-317,

    7 W. Dou, "A general frame-work for component substitution image fusion: An implemen-tation using the fast image fusion method" Computers & Geosciences 33 : 219-228, 2007

    8 L. Conda, "A framework for image magnification: Induction revisited" IEEE 2005

    1 Y. Zhang, "Understanding image fusion" Photogram-metric Engineering & Remote Sensing 70 (70): 653-660, 2004

    2 M. M. Khan, "Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique" IEEE 5 (5): 98-102, 2008

    3 L. Alparone, "Comparison of Pansharpening Algo-rithms: Outcome of the 2006 GRS-S Data-Fusion Contest" IEEE 45 (45): 3012-3021, 2007

    4 M. Gonzalez-Audicana, "Comparison between Mallat's and the a'trous discrete wavelet transformation based algorithms for the fusion of multispectral and panchromatic imag" International Journal of Remote Sensing 26 (26): 595-614, 2005

    5 M. Gonzalez-Audicana, "A low computational-cost method to fuse IKONOS image using the spectral response function of its sensors" IEEE 44 (44): 1683-1691, 2005

    6 L. Alparone, "A global quality measurement of pan-sharpened multispectral imagery" IEEE 1 (1): 313-317,

    7 W. Dou, "A general frame-work for component substitution image fusion: An implemen-tation using the fast image fusion method" Computers & Geosciences 33 : 219-228, 2007

    8 L. Conda, "A framework for image magnification: Induction revisited" IEEE 2005

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2019-03-12 학술지명변경 한글명 : 한국지형공간정보학회지 -> 대한공간정보학회지
    외국어명 : Journal of The Korea Society For Geospatial Information Science -> journal of Korean Society for Geospatial Information Science
    KCI등재
    2019-01-29 학회명변경 한글명 : 한국공간정보학회 -> 대한공간정보학회 KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-03-30 학술지명변경 외국어명 : The Korea Society For GeospatIal Information System -> Journal of The Korea Society For Geospatial Information Science KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2013-01-02 학술지명변경 한글명 : 한국지형공간 정보학회지 -> 한국지형공간정보학회지 KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-05-07 학회명변경 한글명 : 한국GIS학회 -> 한국공간정보학회
    영문명 : Geographic Information Systems Association Of Korea -> Korea Spatial Information Society (KSIS)
    KCI등재
    2008-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2007-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2005-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.83 0.83 0.72
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.63 0.61 0.947 0.12
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