Conventional approaches to inventories from satellites rely heavily on the judgment of image analysts, who 'train' the computer classification program. The fully automated approach to this problem, described in the present paper, eliminates the need for human judgment in training the computer, by using fully automated techniques for selecting spectral characteristics and classification parameters to optimize agreement with ground truth in specified test areas.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Toward fully automated agricultural inventory from satellites


    Beteiligte:
    Ungar, S. G. (Autor:in) / Wasilewsky, J. (Autor:in) / Zeitz, P. (Autor:in)

    Kongress:

    Plenary Meeting ; 1977 ; Tel Aviv, Israel


    Erscheinungsdatum :

    01.06.1977


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Fully automated multi-purpose agricultural machinery

    MA FEI | Europäisches Patentamt | 2020

    Freier Zugriff

    Toward a Fully-Automated Digital Holographic Spray Analyzer

    Olinger, David / Sallam, Khaled | AIAA | 2008


    Toward a Fully-Automated Digital Holographic Spray Analyzer

    Olinger, D. / Sallam, K. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2008


    Fully MMIC Hybrid Equipment for Telecommunication Satellites

    Pouysegur, M. / Floury, G. / Orsini, M. et al. | British Library Conference Proceedings | 1998


    AUTOMATED YARD INVENTORY

    ABEL JUSTIN / THOMAS BROOK / MCCOY DANIEL et al. | Europäisches Patentamt | 2024

    Freier Zugriff