Fast algorithms for estimating aerosol optical depth and correcting Thematic Mapper imagery
نویسندگان
چکیده
منابع مشابه
Fast Algorithms for Estimating Aerosol OpticalDepth and correcting Thematic Mapper ( TM ) Imagery
Remotely sensed images collected by the satellites are usually contaminated by the eeects of the atmospheric particles through absorption and scattering of the radiation from the earth surface. The objective of atmospheric correction is to retrieve the surface reeectance from remotely sensed imagery by removing the atmospheric eeects, which is usually performed in two steps. First, the optical ...
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Remotely sensed images collected by the satellites are usually contaminated by the eeects of the atmospheric particles through absorption and scattering of the radiation from the earth surface. The objective of atmospheric correction is to retrieve the surface reeectance from remotely sensed imagery by removing the atmospheric eeects, which is usually performed in two steps. First, the optical ...
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The first Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on Suomi National Polar-orbiting Partnership (S-NPP) satellite in late 2011. Similar to the Moderate resolution Imaging Spectroradiometer (MODIS), VIIRS observes top-of-atmosphere spectral reflectance and is potentially suitable for retrieval of the aerosol optical depth (AOD). The VIIRS Environmental Data Record data (VII...
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Although a large number of new image classification algorithms have been developed, they are rarely tested with the same classification task. In this research, with the same Landsat Thematic Mapper (TM) data set and the same classification scheme over Guangzhou City, China, we tested two unsupervised and 13 supervised classification algorithms, including a number of machine learning algorithms ...
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International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 Validating a new algorithm for estimating aerosol optical depths over land from MODIS imagery B. Zhong a; S. Liang a; B. Holben b a Department of Geography, University of Maryland, USA b NASA Goddard Space Flight ...
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ژورنال
عنوان ژورنال: The Journal of Supercomputing
سال: 1997
ISSN: 0920-8542,1573-0484
DOI: 10.1007/bf00227861