Skip to content
University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • College of Computer, Mathematical & Natural Sciences
    • Computer Science
    • Technical Reports from UMIACS
    • View Item
    •   DRUM
    • College of Computer, Mathematical & Natural Sciences
    • Computer Science
    • Technical Reports from UMIACS
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Fast Algorithms for Estimating Aerosol Optical Depth and Correcting Thematic Mapper Imagery

    Thumbnail
    View/Open
    CS-TR-3562.ps (8.725Mb)
    No. of downloads: 562

    Auto-generated copy of CS-TR-3562.ps (1.302Mb)
    No. of downloads: 1267

    Date
    1998-10-15
    Author
    Fallah-Adl, Hassan
    JaJa, Joseph
    Liang, Shunlin
    Metadata
    Show full item record
    Abstract
    Remotely sensed images collected by the satellites are usually contaminated by the effects 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 reflectance from remotely sensed imagery by removing the atmospheric effects, which is usually performed in two steps. First, the optical characteristics of the atmosphere are estimated and then the remotely sensed imagery is corrected by inversion procedures that derive the surface reflectance. In this paper we introduce an efficient algorithm to estimate the optical characteristics of the Thematic Mapper (TM) imagery and to remove the atmospheric effects from it. Our algorithm introduces a set of techniques to significantly improve the quality of the retrieved images. We pay a particular attention to the computational efficiency of the algorithm, thereby allowing us to correct large TM images quite fast. We also provide a parallel implementation of our algorithm and show its portability and its scalability on several parallel machines. (Also cross-referenced as UMIACS-TR-95-113)
    URI
    http://hdl.handle.net/1903/777
    Collections
    • Technical Reports from UMIACS
    • Technical Reports of the Computer Science Department

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility