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    题名: An image-based retrieval algorithm of aerosol characteristics and surface reflectance for satellite images
    作者: Liu,CH;Chen,AJ;Liu,GR
    贡献者: 太空及遙測研究中心
    关键词: ATMOSPHERIC CORRECTION ALGORITHM;OPTICAL DEPTH SPECTRUM;SOLAR SPECTRUM;TM IMAGES;LAND;SENSOR;CLASSIFICATION;SCATTERING
    日期: 1996
    上传时间: 2010-06-29 18:52:10 (UTC+8)
    出版者: 中央大學
    摘要: An image-based retrieval algorithm of aerosol characteristics and surface reflectance for satellite images is proposed. By assuming the Junge size distributed aerosol in the atmosphere and feeding back the new Junge parameter, not only the aerosol optical depth but also the Junge parameter, single-scattering albedo and phase function can be iteratively derived and converged from digital counts of dense dark vegetation in the green and red bands of SPOT satellite image. These retrieved aerosol characteristics are considered to be more physically related to the image itself than estimated. To prevent over-estimating aerosol optical depth, multiple scattering of path radiance for aerosol is taken into consideration. Although in lack of field measurement, the algorithm is evaluated and proved to be useful by simulation. Its sensitivities to assumed dense dark vegetation reflectances, log-normal size distribution, initial assumed power of Junge size distribution, refractive index and radius range are also studied. The retrieved aerosol optical characteristics are further used to derive surface reflectance of SPOT satellite image by a proposed atmospheric correction model for non-uniform and Lambertian surface. Without atmospheric correction, the RMSE between the apparent and held-measured reflectance is 0-076 for reflectance range 0.0 to 0.6. The RMSE between the derived and field-measured reflectance is greatly reduced to 0.022, if the image is atmospheric-corrected.
    關聯: INTERNATIONAL JOURNAL OF REMOTE SENSING
    显示于类别:[太空及遙測研究中心] 期刊論文

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